Model save
Browse files- .gitattributes +1 -0
- README.md +80 -0
- all_results.json +13 -0
- config.json +28 -0
- eval_results.json +8 -0
- generation_config.json +7 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +261 -0
- runs/Feb29_13-36-31_ip-26-0-166-244/events.out.tfevents.1709213816.ip-26-0-166-244.3489680.0 +3 -0
- runs/Feb29_13-36-31_ip-26-0-166-244/events.out.tfevents.1709215080.ip-26-0-166-244.3489680.1 +3 -0
- special_tokens_map.json +34 -0
- tokenizer.json +3 -0
- tokenizer_config.json +70 -0
- train_results.json +8 -0
- trainer_state.json +283 -0
- training_args.bin +3 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
36 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
README.md
ADDED
@@ -0,0 +1,80 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: other
|
3 |
+
base_model: google/gemma-7b
|
4 |
+
tags:
|
5 |
+
- trl
|
6 |
+
- sft
|
7 |
+
- generated_from_trainer
|
8 |
+
datasets:
|
9 |
+
- generator
|
10 |
+
model-index:
|
11 |
+
- name: gemma-7b-sft-full-longest-1k-v0
|
12 |
+
results: []
|
13 |
+
---
|
14 |
+
|
15 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
16 |
+
should probably proofread and complete it, then remove this comment. -->
|
17 |
+
|
18 |
+
# gemma-7b-sft-full-longest-1k-v0
|
19 |
+
|
20 |
+
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the generator dataset.
|
21 |
+
It achieves the following results on the evaluation set:
|
22 |
+
- Loss: 1.7445
|
23 |
+
|
24 |
+
## Model description
|
25 |
+
|
26 |
+
More information needed
|
27 |
+
|
28 |
+
## Intended uses & limitations
|
29 |
+
|
30 |
+
More information needed
|
31 |
+
|
32 |
+
## Training and evaluation data
|
33 |
+
|
34 |
+
More information needed
|
35 |
+
|
36 |
+
## Training procedure
|
37 |
+
|
38 |
+
### Training hyperparameters
|
39 |
+
|
40 |
+
The following hyperparameters were used during training:
|
41 |
+
- learning_rate: 2e-06
|
42 |
+
- train_batch_size: 4
|
43 |
+
- eval_batch_size: 8
|
44 |
+
- seed: 42
|
45 |
+
- distributed_type: multi-GPU
|
46 |
+
- num_devices: 8
|
47 |
+
- gradient_accumulation_steps: 4
|
48 |
+
- total_train_batch_size: 128
|
49 |
+
- total_eval_batch_size: 64
|
50 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
51 |
+
- lr_scheduler_type: cosine
|
52 |
+
- num_epochs: 15
|
53 |
+
|
54 |
+
### Training results
|
55 |
+
|
56 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
57 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
58 |
+
| 5.6993 | 1.0 | 6 | 2.8191 |
|
59 |
+
| 3.3379 | 2.0 | 12 | 2.2503 |
|
60 |
+
| 2.8978 | 3.0 | 18 | 2.0730 |
|
61 |
+
| 2.7495 | 4.0 | 24 | 1.9771 |
|
62 |
+
| 2.5265 | 5.0 | 30 | 1.9129 |
|
63 |
+
| 2.4727 | 6.0 | 36 | 1.8681 |
|
64 |
+
| 2.443 | 7.0 | 42 | 1.8344 |
|
65 |
+
| 2.3432 | 8.0 | 48 | 1.8083 |
|
66 |
+
| 2.3291 | 9.0 | 54 | 1.7878 |
|
67 |
+
| 2.2843 | 10.0 | 60 | 1.7719 |
|
68 |
+
| 2.2529 | 11.0 | 66 | 1.7595 |
|
69 |
+
| 2.2723 | 12.0 | 72 | 1.7509 |
|
70 |
+
| 2.2302 | 13.0 | 78 | 1.7465 |
|
71 |
+
| 2.2224 | 14.0 | 84 | 1.7448 |
|
72 |
+
| 2.2309 | 15.0 | 90 | 1.7445 |
|
73 |
+
|
74 |
+
|
75 |
+
### Framework versions
|
76 |
+
|
77 |
+
- Transformers 4.39.0.dev0
|
78 |
+
- Pytorch 2.1.2+cu121
|
79 |
+
- Datasets 2.14.6
|
80 |
+
- Tokenizers 0.15.1
|
all_results.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 15.0,
|
3 |
+
"eval_loss": 1.7445234060287476,
|
4 |
+
"eval_runtime": 48.9307,
|
5 |
+
"eval_samples": 1000,
|
6 |
+
"eval_samples_per_second": 20.151,
|
7 |
+
"eval_steps_per_second": 0.327,
|
8 |
+
"train_loss": 2.68501771291097,
|
9 |
+
"train_runtime": 1215.2713,
|
10 |
+
"train_samples": 1000,
|
11 |
+
"train_samples_per_second": 9.121,
|
12 |
+
"train_steps_per_second": 0.074
|
13 |
+
}
|
config.json
ADDED
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google/gemma-7b",
|
3 |
+
"architectures": [
|
4 |
+
"GemmaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 2,
|
9 |
+
"eos_token_id": 1,
|
10 |
+
"head_dim": 256,
|
11 |
+
"hidden_act": "gelu",
|
12 |
+
"hidden_size": 3072,
|
13 |
+
"initializer_range": 0.02,
|
14 |
+
"intermediate_size": 24576,
|
15 |
+
"max_position_embeddings": 8192,
|
16 |
+
"model_type": "gemma",
|
17 |
+
"num_attention_heads": 16,
|
18 |
+
"num_hidden_layers": 28,
|
19 |
+
"num_key_value_heads": 16,
|
20 |
+
"pad_token_id": 0,
|
21 |
+
"rms_norm_eps": 1e-06,
|
22 |
+
"rope_scaling": null,
|
23 |
+
"rope_theta": 10000.0,
|
24 |
+
"torch_dtype": "bfloat16",
|
25 |
+
"transformers_version": "4.39.0.dev0",
|
26 |
+
"use_cache": false,
|
27 |
+
"vocab_size": 256000
|
28 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 15.0,
|
3 |
+
"eval_loss": 1.7445234060287476,
|
4 |
+
"eval_runtime": 48.9307,
|
5 |
+
"eval_samples": 1000,
|
6 |
+
"eval_samples_per_second": 20.151,
|
7 |
+
"eval_steps_per_second": 0.327
|
8 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 2,
|
4 |
+
"eos_token_id": 1,
|
5 |
+
"pad_token_id": 0,
|
6 |
+
"transformers_version": "4.39.0.dev0"
|
7 |
+
}
|
model-00001-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:de3de364231675838c92b2fd23993c338936f44ace9348720c31716c8df91ea9
|
3 |
+
size 4995496656
|
model-00002-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f6299713a8c674a775faa35330be8324006563e20c65b9fa800cec810a9b502a
|
3 |
+
size 4982953168
|
model-00003-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:025f73cd2e0415c4d47a2df8b65621e57923c7acc14dc22cb1a750d2c510c875
|
3 |
+
size 4982953200
|
model-00004-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:98a60cf26afba0073f6503a386d4c07da737f126f470e61ea2106dbe34df128c
|
3 |
+
size 2113988336
|
model.safetensors.index.json
ADDED
@@ -0,0 +1,261 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 17075361792
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"model.embed_tokens.weight": "model-00001-of-00004.safetensors",
|
7 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
8 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
9 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
10 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
11 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
12 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
13 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
14 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
15 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
16 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
17 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
18 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
19 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
20 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
21 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
22 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
23 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
24 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
25 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
26 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
27 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
28 |
+
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
29 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
30 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
31 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
32 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
33 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
34 |
+
"model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
35 |
+
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
36 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
37 |
+
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
38 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
39 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
40 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
41 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
42 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
43 |
+
"model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
44 |
+
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
45 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
46 |
+
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
47 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
48 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
49 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
50 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
51 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
52 |
+
"model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
53 |
+
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
54 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
55 |
+
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
56 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
57 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
58 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
59 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
60 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
61 |
+
"model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
62 |
+
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
63 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
64 |
+
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
65 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
66 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
67 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
68 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
69 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
70 |
+
"model.layers.15.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
71 |
+
"model.layers.15.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
72 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
73 |
+
"model.layers.15.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
74 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
75 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
76 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
77 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
78 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
79 |
+
"model.layers.16.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
80 |
+
"model.layers.16.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
81 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
82 |
+
"model.layers.16.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
83 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
84 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
85 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
86 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
87 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
88 |
+
"model.layers.17.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
89 |
+
"model.layers.17.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
90 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
91 |
+
"model.layers.17.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
92 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
93 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
94 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
95 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
96 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
97 |
+
"model.layers.18.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
98 |
+
"model.layers.18.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
99 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
100 |
+
"model.layers.18.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
101 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
102 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
103 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
104 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
105 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
106 |
+
"model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
107 |
+
"model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
108 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
109 |
+
"model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
110 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
111 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
112 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
113 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
114 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
115 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
116 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
117 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
118 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
119 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
120 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
121 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
122 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
123 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
124 |
+
"model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
125 |
+
"model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
126 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
127 |
+
"model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
128 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
129 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
130 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
131 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
132 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
133 |
+
"model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
134 |
+
"model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
135 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
136 |
+
"model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
137 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
138 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
139 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
140 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
141 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
142 |
+
"model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
143 |
+
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
144 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
145 |
+
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
146 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
147 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
148 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
149 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
150 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
151 |
+
"model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
152 |
+
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
153 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
154 |
+
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
155 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
156 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
157 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
158 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
159 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
160 |
+
"model.layers.24.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
161 |
+
"model.layers.24.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
162 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
163 |
+
"model.layers.24.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
164 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
165 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
166 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
167 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
168 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
169 |
+
"model.layers.25.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
170 |
+
"model.layers.25.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
171 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
172 |
+
"model.layers.25.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
173 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
174 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
|
175 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
|
176 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
|
177 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
|
178 |
+
"model.layers.26.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
179 |
+
"model.layers.26.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
180 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
181 |
+
"model.layers.26.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
182 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
183 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
|
184 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
|
185 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
|
186 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
|
187 |
+
"model.layers.27.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
188 |
+
"model.layers.27.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
189 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
190 |
+
"model.layers.27.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
191 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
192 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
|
193 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
|
194 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
|
195 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
|
196 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
197 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
198 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
199 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
200 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
201 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
202 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
203 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
204 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
205 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
206 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
207 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
208 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
209 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
210 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
211 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
212 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
213 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
214 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
215 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
216 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
217 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
218 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
219 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
220 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
221 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
222 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
223 |
+
"model.layers.6.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
224 |
+
"model.layers.6.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
225 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
226 |
+
"model.layers.6.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
227 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
228 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
229 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
230 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
231 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
232 |
+
"model.layers.7.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
233 |
+
"model.layers.7.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
234 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
235 |
+
"model.layers.7.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
236 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
237 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
238 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
239 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
240 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
241 |
+
"model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
242 |
+
"model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
243 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
244 |
+
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
245 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
246 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
247 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
248 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
249 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
250 |
+
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
251 |
+
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
252 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
253 |
+
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
254 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
255 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
256 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
257 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
258 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
259 |
+
"model.norm.weight": "model-00004-of-00004.safetensors"
|
260 |
+
}
|
261 |
+
}
|
runs/Feb29_13-36-31_ip-26-0-166-244/events.out.tfevents.1709213816.ip-26-0-166-244.3489680.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f24bf74b43f0be3ef32cff6f3673f1b9bd5df1cf2af4131541203cc53615665d
|
3 |
+
size 13000
|
runs/Feb29_13-36-31_ip-26-0-166-244/events.out.tfevents.1709215080.ip-26-0-166-244.3489680.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6474ace1675fd40765c0f681f99ca3895201b3b99ac855d9a30b49c3e7b4f3b2
|
3 |
+
size 354
|
special_tokens_map.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<|im_start|>",
|
4 |
+
"<|im_end|>"
|
5 |
+
],
|
6 |
+
"bos_token": {
|
7 |
+
"content": "<bos>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false
|
12 |
+
},
|
13 |
+
"eos_token": {
|
14 |
+
"content": "<eos>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false
|
19 |
+
},
|
20 |
+
"pad_token": {
|
21 |
+
"content": "<pad>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false
|
26 |
+
},
|
27 |
+
"unk_token": {
|
28 |
+
"content": "<unk>",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false
|
33 |
+
}
|
34 |
+
}
|
tokenizer.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:22449cb9ef4bad0db7dd93b46ddff7ab7d6a654dd4f903e130ddb6361eac3af5
|
3 |
+
size 17477473
|
tokenizer_config.json
ADDED
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<pad>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<eos>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "<bos>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
},
|
29 |
+
"3": {
|
30 |
+
"content": "<unk>",
|
31 |
+
"lstrip": false,
|
32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": true
|
36 |
+
},
|
37 |
+
"106": {
|
38 |
+
"content": "<|im_start|>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false,
|
43 |
+
"special": true
|
44 |
+
},
|
45 |
+
"107": {
|
46 |
+
"content": "<|im_end|>",
|
47 |
+
"lstrip": false,
|
48 |
+
"normalized": false,
|
49 |
+
"rstrip": false,
|
50 |
+
"single_word": false,
|
51 |
+
"special": true
|
52 |
+
}
|
53 |
+
},
|
54 |
+
"additional_special_tokens": [
|
55 |
+
"<|im_start|>",
|
56 |
+
"<|im_end|>"
|
57 |
+
],
|
58 |
+
"bos_token": "<bos>",
|
59 |
+
"chat_template": "{{ bos_token }}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% else %}{{ eos_token }}{% endif %}",
|
60 |
+
"clean_up_tokenization_spaces": false,
|
61 |
+
"eos_token": "<eos>",
|
62 |
+
"legacy": null,
|
63 |
+
"model_max_length": 2048,
|
64 |
+
"pad_token": "<pad>",
|
65 |
+
"sp_model_kwargs": {},
|
66 |
+
"spaces_between_special_tokens": false,
|
67 |
+
"tokenizer_class": "GemmaTokenizer",
|
68 |
+
"unk_token": "<unk>",
|
69 |
+
"use_default_system_prompt": false
|
70 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 15.0,
|
3 |
+
"train_loss": 2.68501771291097,
|
4 |
+
"train_runtime": 1215.2713,
|
5 |
+
"train_samples": 1000,
|
6 |
+
"train_samples_per_second": 9.121,
|
7 |
+
"train_steps_per_second": 0.074
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,283 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 15.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 90,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.17,
|
13 |
+
"grad_norm": 1600.5740838054542,
|
14 |
+
"learning_rate": 1.9993908270190957e-06,
|
15 |
+
"loss": 10.0226,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.83,
|
20 |
+
"grad_norm": 163.46605797672981,
|
21 |
+
"learning_rate": 1.984807753012208e-06,
|
22 |
+
"loss": 5.6993,
|
23 |
+
"step": 5
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 1.0,
|
27 |
+
"eval_loss": 2.8191075325012207,
|
28 |
+
"eval_runtime": 49.0667,
|
29 |
+
"eval_samples_per_second": 20.095,
|
30 |
+
"eval_steps_per_second": 0.326,
|
31 |
+
"step": 6
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 1.67,
|
35 |
+
"grad_norm": 50.67962007165623,
|
36 |
+
"learning_rate": 1.9396926207859082e-06,
|
37 |
+
"loss": 3.3379,
|
38 |
+
"step": 10
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 2.0,
|
42 |
+
"eval_loss": 2.2502517700195312,
|
43 |
+
"eval_runtime": 43.7351,
|
44 |
+
"eval_samples_per_second": 22.545,
|
45 |
+
"eval_steps_per_second": 0.366,
|
46 |
+
"step": 12
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"epoch": 2.5,
|
50 |
+
"grad_norm": 45.950994283173856,
|
51 |
+
"learning_rate": 1.8660254037844386e-06,
|
52 |
+
"loss": 2.8978,
|
53 |
+
"step": 15
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 3.0,
|
57 |
+
"eval_loss": 2.073012590408325,
|
58 |
+
"eval_runtime": 45.7645,
|
59 |
+
"eval_samples_per_second": 21.545,
|
60 |
+
"eval_steps_per_second": 0.35,
|
61 |
+
"step": 18
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"epoch": 3.33,
|
65 |
+
"grad_norm": 24.025617244806874,
|
66 |
+
"learning_rate": 1.766044443118978e-06,
|
67 |
+
"loss": 2.7495,
|
68 |
+
"step": 20
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 4.0,
|
72 |
+
"eval_loss": 1.9770734310150146,
|
73 |
+
"eval_runtime": 46.4207,
|
74 |
+
"eval_samples_per_second": 21.241,
|
75 |
+
"eval_steps_per_second": 0.345,
|
76 |
+
"step": 24
|
77 |
+
},
|
78 |
+
{
|
79 |
+
"epoch": 4.17,
|
80 |
+
"grad_norm": 14.021051311636999,
|
81 |
+
"learning_rate": 1.6427876096865393e-06,
|
82 |
+
"loss": 2.6253,
|
83 |
+
"step": 25
|
84 |
+
},
|
85 |
+
{
|
86 |
+
"epoch": 5.0,
|
87 |
+
"grad_norm": 11.855730015804184,
|
88 |
+
"learning_rate": 1.5e-06,
|
89 |
+
"loss": 2.5265,
|
90 |
+
"step": 30
|
91 |
+
},
|
92 |
+
{
|
93 |
+
"epoch": 5.0,
|
94 |
+
"eval_loss": 1.9128954410552979,
|
95 |
+
"eval_runtime": 45.7673,
|
96 |
+
"eval_samples_per_second": 21.544,
|
97 |
+
"eval_steps_per_second": 0.35,
|
98 |
+
"step": 30
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 5.83,
|
102 |
+
"grad_norm": 10.919199689075139,
|
103 |
+
"learning_rate": 1.3420201433256689e-06,
|
104 |
+
"loss": 2.4727,
|
105 |
+
"step": 35
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 6.0,
|
109 |
+
"eval_loss": 1.8680870532989502,
|
110 |
+
"eval_runtime": 44.5512,
|
111 |
+
"eval_samples_per_second": 22.132,
|
112 |
+
"eval_steps_per_second": 0.359,
|
113 |
+
"step": 36
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 6.67,
|
117 |
+
"grad_norm": 11.284381796941899,
|
118 |
+
"learning_rate": 1.1736481776669305e-06,
|
119 |
+
"loss": 2.443,
|
120 |
+
"step": 40
|
121 |
+
},
|
122 |
+
{
|
123 |
+
"epoch": 7.0,
|
124 |
+
"eval_loss": 1.8343719244003296,
|
125 |
+
"eval_runtime": 46.2122,
|
126 |
+
"eval_samples_per_second": 21.336,
|
127 |
+
"eval_steps_per_second": 0.346,
|
128 |
+
"step": 42
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 7.5,
|
132 |
+
"grad_norm": 9.847559856792891,
|
133 |
+
"learning_rate": 1e-06,
|
134 |
+
"loss": 2.3432,
|
135 |
+
"step": 45
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 8.0,
|
139 |
+
"eval_loss": 1.8083339929580688,
|
140 |
+
"eval_runtime": 44.9515,
|
141 |
+
"eval_samples_per_second": 21.935,
|
142 |
+
"eval_steps_per_second": 0.356,
|
143 |
+
"step": 48
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 8.33,
|
147 |
+
"grad_norm": 9.870561751066663,
|
148 |
+
"learning_rate": 8.263518223330696e-07,
|
149 |
+
"loss": 2.3291,
|
150 |
+
"step": 50
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 9.0,
|
154 |
+
"eval_loss": 1.787840485572815,
|
155 |
+
"eval_runtime": 47.3715,
|
156 |
+
"eval_samples_per_second": 20.814,
|
157 |
+
"eval_steps_per_second": 0.338,
|
158 |
+
"step": 54
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 9.17,
|
162 |
+
"grad_norm": 10.44561543342826,
|
163 |
+
"learning_rate": 6.579798566743313e-07,
|
164 |
+
"loss": 2.3369,
|
165 |
+
"step": 55
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 10.0,
|
169 |
+
"grad_norm": 10.772104047660392,
|
170 |
+
"learning_rate": 5.000000000000002e-07,
|
171 |
+
"loss": 2.2843,
|
172 |
+
"step": 60
|
173 |
+
},
|
174 |
+
{
|
175 |
+
"epoch": 10.0,
|
176 |
+
"eval_loss": 1.7719180583953857,
|
177 |
+
"eval_runtime": 47.9838,
|
178 |
+
"eval_samples_per_second": 20.549,
|
179 |
+
"eval_steps_per_second": 0.333,
|
180 |
+
"step": 60
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 10.83,
|
184 |
+
"grad_norm": 10.611454385941395,
|
185 |
+
"learning_rate": 3.5721239031346063e-07,
|
186 |
+
"loss": 2.2529,
|
187 |
+
"step": 65
|
188 |
+
},
|
189 |
+
{
|
190 |
+
"epoch": 11.0,
|
191 |
+
"eval_loss": 1.7595422267913818,
|
192 |
+
"eval_runtime": 46.6624,
|
193 |
+
"eval_samples_per_second": 21.131,
|
194 |
+
"eval_steps_per_second": 0.343,
|
195 |
+
"step": 66
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 11.67,
|
199 |
+
"grad_norm": 10.96071622929993,
|
200 |
+
"learning_rate": 2.339555568810221e-07,
|
201 |
+
"loss": 2.2723,
|
202 |
+
"step": 70
|
203 |
+
},
|
204 |
+
{
|
205 |
+
"epoch": 12.0,
|
206 |
+
"eval_loss": 1.750933289527893,
|
207 |
+
"eval_runtime": 43.9252,
|
208 |
+
"eval_samples_per_second": 22.447,
|
209 |
+
"eval_steps_per_second": 0.364,
|
210 |
+
"step": 72
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 12.5,
|
214 |
+
"grad_norm": 11.705697271981819,
|
215 |
+
"learning_rate": 1.3397459621556128e-07,
|
216 |
+
"loss": 2.2302,
|
217 |
+
"step": 75
|
218 |
+
},
|
219 |
+
{
|
220 |
+
"epoch": 13.0,
|
221 |
+
"eval_loss": 1.746525526046753,
|
222 |
+
"eval_runtime": 45.2618,
|
223 |
+
"eval_samples_per_second": 21.784,
|
224 |
+
"eval_steps_per_second": 0.353,
|
225 |
+
"step": 78
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 13.33,
|
229 |
+
"grad_norm": 11.852420845520365,
|
230 |
+
"learning_rate": 6.030737921409168e-08,
|
231 |
+
"loss": 2.2224,
|
232 |
+
"step": 80
|
233 |
+
},
|
234 |
+
{
|
235 |
+
"epoch": 14.0,
|
236 |
+
"eval_loss": 1.744821548461914,
|
237 |
+
"eval_runtime": 43.5242,
|
238 |
+
"eval_samples_per_second": 22.654,
|
239 |
+
"eval_steps_per_second": 0.368,
|
240 |
+
"step": 84
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 14.17,
|
244 |
+
"grad_norm": 11.326567147878775,
|
245 |
+
"learning_rate": 1.519224698779198e-08,
|
246 |
+
"loss": 2.2113,
|
247 |
+
"step": 85
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 15.0,
|
251 |
+
"grad_norm": 11.882251961294145,
|
252 |
+
"learning_rate": 0.0,
|
253 |
+
"loss": 2.2309,
|
254 |
+
"step": 90
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 15.0,
|
258 |
+
"eval_loss": 1.7445234060287476,
|
259 |
+
"eval_runtime": 46.8833,
|
260 |
+
"eval_samples_per_second": 21.031,
|
261 |
+
"eval_steps_per_second": 0.341,
|
262 |
+
"step": 90
|
263 |
+
},
|
264 |
+
{
|
265 |
+
"epoch": 15.0,
|
266 |
+
"step": 90,
|
267 |
+
"total_flos": 24718476312576.0,
|
268 |
+
"train_loss": 2.68501771291097,
|
269 |
+
"train_runtime": 1215.2713,
|
270 |
+
"train_samples_per_second": 9.121,
|
271 |
+
"train_steps_per_second": 0.074
|
272 |
+
}
|
273 |
+
],
|
274 |
+
"logging_steps": 5,
|
275 |
+
"max_steps": 90,
|
276 |
+
"num_input_tokens_seen": 0,
|
277 |
+
"num_train_epochs": 15,
|
278 |
+
"save_steps": 100,
|
279 |
+
"total_flos": 24718476312576.0,
|
280 |
+
"train_batch_size": 4,
|
281 |
+
"trial_name": null,
|
282 |
+
"trial_params": null
|
283 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f47bbdd2d15ff529818815488e13e7032e5b94563451e3aa1d734b6d3e5c71e5
|
3 |
+
size 6136
|