AlekseyKorshuk
commited on
Commit
•
ef0b90d
1
Parent(s):
6d4515e
huggingartists
Browse files- README.md +4 -4
- config.json +4 -2
- evaluation.txt +1 -1
- flax_model.msgpack +1 -1
- optimizer.pt +1 -1
- pytorch_model.bin +2 -2
- rng_state.pth +1 -1
- scheduler.pt +1 -1
- tokenizer.json +0 -0
- tokenizer_config.json +1 -1
- trainer_state.json +701 -7
- training_args.bin +2 -2
README.md
CHANGED
@@ -14,7 +14,7 @@ widget:
|
|
14 |
<div class="inline-flex flex-col" style="line-height: 1.5;">
|
15 |
<div class="flex">
|
16 |
<div
|
17 |
-
style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/
|
18 |
</div>
|
19 |
</div>
|
20 |
<div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div>
|
@@ -45,15 +45,15 @@ from datasets import load_dataset
|
|
45 |
dataset = load_dataset("huggingartists/kanye-west")
|
46 |
```
|
47 |
|
48 |
-
[Explore the data](https://wandb.ai/huggingartists/huggingartists/runs/
|
49 |
|
50 |
## Training procedure
|
51 |
|
52 |
The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on Kanye West's lyrics.
|
53 |
|
54 |
-
Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/huggingartists/huggingartists/runs/
|
55 |
|
56 |
-
At the end of training, [the final model](https://wandb.ai/huggingartists/huggingartists/runs/
|
57 |
|
58 |
## How to use
|
59 |
|
|
|
14 |
<div class="inline-flex flex-col" style="line-height: 1.5;">
|
15 |
<div class="flex">
|
16 |
<div
|
17 |
+
style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/54520386ec39aca6408c7e2c156ae10a.399x399x1.png')">
|
18 |
</div>
|
19 |
</div>
|
20 |
<div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div>
|
|
|
45 |
dataset = load_dataset("huggingartists/kanye-west")
|
46 |
```
|
47 |
|
48 |
+
[Explore the data](https://wandb.ai/huggingartists/huggingartists/runs/hl7afoso/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
|
49 |
|
50 |
## Training procedure
|
51 |
|
52 |
The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on Kanye West's lyrics.
|
53 |
|
54 |
+
Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/huggingartists/huggingartists/runs/28dw8m5v) for full transparency and reproducibility.
|
55 |
|
56 |
+
At the end of training, [the final model](https://wandb.ai/huggingartists/huggingartists/runs/28dw8m5v/artifacts) is logged and versioned.
|
57 |
|
58 |
## How to use
|
59 |
|
config.json
CHANGED
@@ -1,5 +1,5 @@
|
|
1 |
{
|
2 |
-
"_name_or_path": "
|
3 |
"activation_function": "gelu_new",
|
4 |
"architectures": [
|
5 |
"GPT2LMHeadModel"
|
@@ -18,7 +18,9 @@
|
|
18 |
"n_inner": null,
|
19 |
"n_layer": 12,
|
20 |
"n_positions": 1024,
|
|
|
21 |
"resid_pdrop": 0.1,
|
|
|
22 |
"scale_attn_weights": true,
|
23 |
"summary_activation": null,
|
24 |
"summary_first_dropout": 0.1,
|
@@ -35,7 +37,7 @@
|
|
35 |
}
|
36 |
},
|
37 |
"torch_dtype": "float32",
|
38 |
-
"transformers_version": "4.
|
39 |
"use_cache": true,
|
40 |
"vocab_size": 50257
|
41 |
}
|
|
|
1 |
{
|
2 |
+
"_name_or_path": "kanye-west",
|
3 |
"activation_function": "gelu_new",
|
4 |
"architectures": [
|
5 |
"GPT2LMHeadModel"
|
|
|
18 |
"n_inner": null,
|
19 |
"n_layer": 12,
|
20 |
"n_positions": 1024,
|
21 |
+
"reorder_and_upcast_attn": false,
|
22 |
"resid_pdrop": 0.1,
|
23 |
+
"scale_attn_by_inverse_layer_idx": false,
|
24 |
"scale_attn_weights": true,
|
25 |
"summary_activation": null,
|
26 |
"summary_first_dropout": 0.1,
|
|
|
37 |
}
|
38 |
},
|
39 |
"torch_dtype": "float32",
|
40 |
+
"transformers_version": "4.18.0",
|
41 |
"use_cache": true,
|
42 |
"vocab_size": 50257
|
43 |
}
|
evaluation.txt
CHANGED
@@ -1 +1 @@
|
|
1 |
-
{"eval_loss": 3.
|
|
|
1 |
+
{"eval_loss": 3.2069807052612305, "eval_runtime": 34.4687, "eval_samples_per_second": 21.962, "eval_steps_per_second": 2.756, "epoch": 2.0}
|
flax_model.msgpack
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 497764120
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3bf8c7007d52f47daeafd98497e3a4c6832019a218b639c8f0e7609e3d90b353
|
3 |
size 497764120
|
optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 995604017
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9eceea64cd79fc507b601b5ccae1d6b7309b165ac6f5f2a9d5572ca0877744e4
|
3 |
size 995604017
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:78144d9127a16c2e4fa3aadd6ebdbb582a261d7d8a5b5c8f9be1f4321d1f3e2e
|
3 |
+
size 510396521
|
rng_state.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 14567
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7663ef0ec7d9ce8e838550f0140c91174e7ec49d2a654580029e52bb9e272ceb
|
3 |
size 14567
|
scheduler.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 623
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e2ed597f7451cce52cd85d18bcb6f126f3d81b67d00e50637f296c1ac4267d42
|
3 |
size 623
|
tokenizer.json
CHANGED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
CHANGED
@@ -1 +1 @@
|
|
1 |
-
{"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "add_prefix_space": false, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "
|
|
|
1 |
+
{"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "add_prefix_space": false, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "huggingartists/kanye-west", "tokenizer_class": "GPT2Tokenizer"}
|
trainer_state.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"best_metric": 3.
|
3 |
-
"best_model_checkpoint": "output/kanye-west/checkpoint-
|
4 |
-
"epoch":
|
5 |
-
"global_step":
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
@@ -650,11 +650,705 @@
|
|
650 |
"eval_samples_per_second": 22.04,
|
651 |
"eval_steps_per_second": 2.767,
|
652 |
"step": 532
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
653 |
}
|
654 |
],
|
655 |
-
"max_steps":
|
656 |
-
"num_train_epochs":
|
657 |
-
"total_flos":
|
658 |
"trial_name": null,
|
659 |
"trial_params": null
|
660 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 3.2069807052612305,
|
3 |
+
"best_model_checkpoint": "output/kanye-west/checkpoint-1098",
|
4 |
+
"epoch": 2.0,
|
5 |
+
"global_step": 1098,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
|
|
650 |
"eval_samples_per_second": 22.04,
|
651 |
"eval_steps_per_second": 2.767,
|
652 |
"step": 532
|
653 |
+
},
|
654 |
+
{
|
655 |
+
"epoch": 0.97,
|
656 |
+
"learning_rate": 2.200254683906266e-07,
|
657 |
+
"loss": 3.4087,
|
658 |
+
"step": 535
|
659 |
+
},
|
660 |
+
{
|
661 |
+
"epoch": 0.98,
|
662 |
+
"learning_rate": 9.09574339006257e-08,
|
663 |
+
"loss": 3.3394,
|
664 |
+
"step": 540
|
665 |
+
},
|
666 |
+
{
|
667 |
+
"epoch": 0.99,
|
668 |
+
"learning_rate": 1.797008773112274e-08,
|
669 |
+
"loss": 3.413,
|
670 |
+
"step": 545
|
671 |
+
},
|
672 |
+
{
|
673 |
+
"epoch": 1.0,
|
674 |
+
"eval_loss": 3.219294786453247,
|
675 |
+
"eval_runtime": 34.625,
|
676 |
+
"eval_samples_per_second": 21.863,
|
677 |
+
"eval_steps_per_second": 2.744,
|
678 |
+
"step": 549
|
679 |
+
},
|
680 |
+
{
|
681 |
+
"epoch": 1.0,
|
682 |
+
"learning_rate": 1.123176456552244e-09,
|
683 |
+
"loss": 3.4155,
|
684 |
+
"step": 550
|
685 |
+
},
|
686 |
+
{
|
687 |
+
"epoch": 1.01,
|
688 |
+
"learning_rate": 4.0430490758340044e-08,
|
689 |
+
"loss": 3.3359,
|
690 |
+
"step": 555
|
691 |
+
},
|
692 |
+
{
|
693 |
+
"epoch": 1.02,
|
694 |
+
"learning_rate": 1.3585985413598608e-07,
|
695 |
+
"loss": 3.4372,
|
696 |
+
"step": 560
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 1.03,
|
700 |
+
"learning_rate": 2.8733314924638363e-07,
|
701 |
+
"loss": 3.5177,
|
702 |
+
"step": 565
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 1.04,
|
706 |
+
"learning_rate": 4.947263818497525e-07,
|
707 |
+
"loss": 3.3014,
|
708 |
+
"step": 570
|
709 |
+
},
|
710 |
+
{
|
711 |
+
"epoch": 1.05,
|
712 |
+
"learning_rate": 7.578697823098032e-07,
|
713 |
+
"loss": 3.4521,
|
714 |
+
"step": 575
|
715 |
+
},
|
716 |
+
{
|
717 |
+
"epoch": 1.06,
|
718 |
+
"learning_rate": 1.0765479445652215e-06,
|
719 |
+
"loss": 3.263,
|
720 |
+
"step": 580
|
721 |
+
},
|
722 |
+
{
|
723 |
+
"epoch": 1.07,
|
724 |
+
"learning_rate": 1.4505000024584544e-06,
|
725 |
+
"loss": 3.3575,
|
726 |
+
"step": 585
|
727 |
+
},
|
728 |
+
{
|
729 |
+
"epoch": 1.07,
|
730 |
+
"learning_rate": 1.8794198432776367e-06,
|
731 |
+
"loss": 3.5385,
|
732 |
+
"step": 590
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 1.08,
|
736 |
+
"learning_rate": 2.362956358336902e-06,
|
737 |
+
"loss": 3.2621,
|
738 |
+
"step": 595
|
739 |
+
},
|
740 |
+
{
|
741 |
+
"epoch": 1.09,
|
742 |
+
"learning_rate": 2.900713730389673e-06,
|
743 |
+
"loss": 3.3471,
|
744 |
+
"step": 600
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 1.1,
|
748 |
+
"learning_rate": 3.4922517576400357e-06,
|
749 |
+
"loss": 3.3317,
|
750 |
+
"step": 605
|
751 |
+
},
|
752 |
+
{
|
753 |
+
"epoch": 1.11,
|
754 |
+
"learning_rate": 4.137086214086682e-06,
|
755 |
+
"loss": 3.3101,
|
756 |
+
"step": 610
|
757 |
+
},
|
758 |
+
{
|
759 |
+
"epoch": 1.12,
|
760 |
+
"learning_rate": 4.834689245904529e-06,
|
761 |
+
"loss": 3.5044,
|
762 |
+
"step": 615
|
763 |
+
},
|
764 |
+
{
|
765 |
+
"epoch": 1.13,
|
766 |
+
"learning_rate": 5.584489803539656e-06,
|
767 |
+
"loss": 3.2145,
|
768 |
+
"step": 620
|
769 |
+
},
|
770 |
+
{
|
771 |
+
"epoch": 1.14,
|
772 |
+
"learning_rate": 6.385874109163592e-06,
|
773 |
+
"loss": 3.088,
|
774 |
+
"step": 625
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 1.15,
|
778 |
+
"learning_rate": 7.238186159104615e-06,
|
779 |
+
"loss": 3.2756,
|
780 |
+
"step": 630
|
781 |
+
},
|
782 |
+
{
|
783 |
+
"epoch": 1.16,
|
784 |
+
"learning_rate": 8.140728260844604e-06,
|
785 |
+
"loss": 3.3539,
|
786 |
+
"step": 635
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 1.17,
|
790 |
+
"learning_rate": 9.09276160414173e-06,
|
791 |
+
"loss": 3.3302,
|
792 |
+
"step": 640
|
793 |
+
},
|
794 |
+
{
|
795 |
+
"epoch": 1.17,
|
796 |
+
"learning_rate": 1.0093506865811846e-05,
|
797 |
+
"loss": 3.3183,
|
798 |
+
"step": 645
|
799 |
+
},
|
800 |
+
{
|
801 |
+
"epoch": 1.18,
|
802 |
+
"learning_rate": 1.1142144847673131e-05,
|
803 |
+
"loss": 3.3733,
|
804 |
+
"step": 650
|
805 |
+
},
|
806 |
+
{
|
807 |
+
"epoch": 1.19,
|
808 |
+
"learning_rate": 1.2237817147132003e-05,
|
809 |
+
"loss": 3.3992,
|
810 |
+
"step": 655
|
811 |
+
},
|
812 |
+
{
|
813 |
+
"epoch": 1.2,
|
814 |
+
"learning_rate": 1.3379626859861349e-05,
|
815 |
+
"loss": 3.4621,
|
816 |
+
"step": 660
|
817 |
+
},
|
818 |
+
{
|
819 |
+
"epoch": 1.21,
|
820 |
+
"learning_rate": 1.4566639313995615e-05,
|
821 |
+
"loss": 3.4193,
|
822 |
+
"step": 665
|
823 |
+
},
|
824 |
+
{
|
825 |
+
"epoch": 1.22,
|
826 |
+
"learning_rate": 1.5797882835242138e-05,
|
827 |
+
"loss": 3.4483,
|
828 |
+
"step": 670
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 1.23,
|
832 |
+
"learning_rate": 1.7072349542282338e-05,
|
833 |
+
"loss": 3.1321,
|
834 |
+
"step": 675
|
835 |
+
},
|
836 |
+
{
|
837 |
+
"epoch": 1.24,
|
838 |
+
"learning_rate": 1.8388996171811105e-05,
|
839 |
+
"loss": 3.5093,
|
840 |
+
"step": 680
|
841 |
+
},
|
842 |
+
{
|
843 |
+
"epoch": 1.25,
|
844 |
+
"learning_rate": 1.9746744932540055e-05,
|
845 |
+
"loss": 3.3516,
|
846 |
+
"step": 685
|
847 |
+
},
|
848 |
+
{
|
849 |
+
"epoch": 1.26,
|
850 |
+
"learning_rate": 2.1144484387464373e-05,
|
851 |
+
"loss": 3.3896,
|
852 |
+
"step": 690
|
853 |
+
},
|
854 |
+
{
|
855 |
+
"epoch": 1.27,
|
856 |
+
"learning_rate": 2.258107036367215e-05,
|
857 |
+
"loss": 3.4337,
|
858 |
+
"step": 695
|
859 |
+
},
|
860 |
+
{
|
861 |
+
"epoch": 1.28,
|
862 |
+
"learning_rate": 2.4055326888950756e-05,
|
863 |
+
"loss": 3.3167,
|
864 |
+
"step": 700
|
865 |
+
},
|
866 |
+
{
|
867 |
+
"epoch": 1.28,
|
868 |
+
"learning_rate": 2.5566047154423428e-05,
|
869 |
+
"loss": 3.3134,
|
870 |
+
"step": 705
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 1.29,
|
874 |
+
"learning_rate": 2.711199450242914e-05,
|
875 |
+
"loss": 3.2474,
|
876 |
+
"step": 710
|
877 |
+
},
|
878 |
+
{
|
879 |
+
"epoch": 1.3,
|
880 |
+
"learning_rate": 2.8691903438835377e-05,
|
881 |
+
"loss": 3.234,
|
882 |
+
"step": 715
|
883 |
+
},
|
884 |
+
{
|
885 |
+
"epoch": 1.31,
|
886 |
+
"learning_rate": 3.030448066895703e-05,
|
887 |
+
"loss": 3.3668,
|
888 |
+
"step": 720
|
889 |
+
},
|
890 |
+
{
|
891 |
+
"epoch": 1.32,
|
892 |
+
"learning_rate": 3.194840615623184e-05,
|
893 |
+
"loss": 3.4867,
|
894 |
+
"step": 725
|
895 |
+
},
|
896 |
+
{
|
897 |
+
"epoch": 1.33,
|
898 |
+
"learning_rate": 3.36223342027866e-05,
|
899 |
+
"loss": 3.3089,
|
900 |
+
"step": 730
|
901 |
+
},
|
902 |
+
{
|
903 |
+
"epoch": 1.34,
|
904 |
+
"learning_rate": 3.53248945510095e-05,
|
905 |
+
"loss": 3.273,
|
906 |
+
"step": 735
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 1.35,
|
910 |
+
"learning_rate": 3.7054693505226934e-05,
|
911 |
+
"loss": 3.3763,
|
912 |
+
"step": 740
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 1.36,
|
916 |
+
"learning_rate": 3.8810315072565846e-05,
|
917 |
+
"loss": 3.4708,
|
918 |
+
"step": 745
|
919 |
+
},
|
920 |
+
{
|
921 |
+
"epoch": 1.37,
|
922 |
+
"learning_rate": 4.0590322122068896e-05,
|
923 |
+
"loss": 3.3732,
|
924 |
+
"step": 750
|
925 |
+
},
|
926 |
+
{
|
927 |
+
"epoch": 1.38,
|
928 |
+
"learning_rate": 4.239325756111289e-05,
|
929 |
+
"loss": 3.3236,
|
930 |
+
"step": 755
|
931 |
+
},
|
932 |
+
{
|
933 |
+
"epoch": 1.38,
|
934 |
+
"learning_rate": 4.421764552816718e-05,
|
935 |
+
"loss": 3.3189,
|
936 |
+
"step": 760
|
937 |
+
},
|
938 |
+
{
|
939 |
+
"epoch": 1.39,
|
940 |
+
"learning_rate": 4.6061992600916735e-05,
|
941 |
+
"loss": 3.3587,
|
942 |
+
"step": 765
|
943 |
+
},
|
944 |
+
{
|
945 |
+
"epoch": 1.4,
|
946 |
+
"learning_rate": 4.792478901875958e-05,
|
947 |
+
"loss": 3.3553,
|
948 |
+
"step": 770
|
949 |
+
},
|
950 |
+
{
|
951 |
+
"epoch": 1.41,
|
952 |
+
"learning_rate": 4.980450991867903e-05,
|
953 |
+
"loss": 3.3437,
|
954 |
+
"step": 775
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 1.42,
|
958 |
+
"learning_rate": 5.1699616583478625e-05,
|
959 |
+
"loss": 3.113,
|
960 |
+
"step": 780
|
961 |
+
},
|
962 |
+
{
|
963 |
+
"epoch": 1.43,
|
964 |
+
"learning_rate": 5.360855770135732e-05,
|
965 |
+
"loss": 3.5307,
|
966 |
+
"step": 785
|
967 |
+
},
|
968 |
+
{
|
969 |
+
"epoch": 1.44,
|
970 |
+
"learning_rate": 5.5529770635795374e-05,
|
971 |
+
"loss": 3.277,
|
972 |
+
"step": 790
|
973 |
+
},
|
974 |
+
{
|
975 |
+
"epoch": 1.45,
|
976 |
+
"learning_rate": 5.746168270470958e-05,
|
977 |
+
"loss": 3.4986,
|
978 |
+
"step": 795
|
979 |
+
},
|
980 |
+
{
|
981 |
+
"epoch": 1.46,
|
982 |
+
"learning_rate": 5.940271246783254e-05,
|
983 |
+
"loss": 3.0947,
|
984 |
+
"step": 800
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"epoch": 1.47,
|
988 |
+
"learning_rate": 6.13512710212607e-05,
|
989 |
+
"loss": 3.453,
|
990 |
+
"step": 805
|
991 |
+
},
|
992 |
+
{
|
993 |
+
"epoch": 1.48,
|
994 |
+
"learning_rate": 6.330576329811206e-05,
|
995 |
+
"loss": 3.2989,
|
996 |
+
"step": 810
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 1.48,
|
1000 |
+
"learning_rate": 6.526458937422915e-05,
|
1001 |
+
"loss": 3.2466,
|
1002 |
+
"step": 815
|
1003 |
+
},
|
1004 |
+
{
|
1005 |
+
"epoch": 1.49,
|
1006 |
+
"learning_rate": 6.722614577785811e-05,
|
1007 |
+
"loss": 3.3078,
|
1008 |
+
"step": 820
|
1009 |
+
},
|
1010 |
+
{
|
1011 |
+
"epoch": 1.5,
|
1012 |
+
"learning_rate": 6.918882680223113e-05,
|
1013 |
+
"loss": 3.3115,
|
1014 |
+
"step": 825
|
1015 |
+
},
|
1016 |
+
{
|
1017 |
+
"epoch": 1.51,
|
1018 |
+
"learning_rate": 7.115102581997948e-05,
|
1019 |
+
"loss": 3.401,
|
1020 |
+
"step": 830
|
1021 |
+
},
|
1022 |
+
{
|
1023 |
+
"epoch": 1.52,
|
1024 |
+
"learning_rate": 7.311113659829913e-05,
|
1025 |
+
"loss": 3.388,
|
1026 |
+
"step": 835
|
1027 |
+
},
|
1028 |
+
{
|
1029 |
+
"epoch": 1.53,
|
1030 |
+
"learning_rate": 7.506755461379409e-05,
|
1031 |
+
"loss": 3.1893,
|
1032 |
+
"step": 840
|
1033 |
+
},
|
1034 |
+
{
|
1035 |
+
"epoch": 1.54,
|
1036 |
+
"learning_rate": 7.701867836592025e-05,
|
1037 |
+
"loss": 3.1964,
|
1038 |
+
"step": 845
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 1.55,
|
1042 |
+
"learning_rate": 7.896291068795451e-05,
|
1043 |
+
"loss": 3.1817,
|
1044 |
+
"step": 850
|
1045 |
+
},
|
1046 |
+
{
|
1047 |
+
"epoch": 1.56,
|
1048 |
+
"learning_rate": 8.089866005441645e-05,
|
1049 |
+
"loss": 3.4222,
|
1050 |
+
"step": 855
|
1051 |
+
},
|
1052 |
+
{
|
1053 |
+
"epoch": 1.57,
|
1054 |
+
"learning_rate": 8.28243418838726e-05,
|
1055 |
+
"loss": 3.3935,
|
1056 |
+
"step": 860
|
1057 |
+
},
|
1058 |
+
{
|
1059 |
+
"epoch": 1.58,
|
1060 |
+
"learning_rate": 8.473837983605534e-05,
|
1061 |
+
"loss": 3.317,
|
1062 |
+
"step": 865
|
1063 |
+
},
|
1064 |
+
{
|
1065 |
+
"epoch": 1.58,
|
1066 |
+
"learning_rate": 8.663920710223691e-05,
|
1067 |
+
"loss": 3.3184,
|
1068 |
+
"step": 870
|
1069 |
+
},
|
1070 |
+
{
|
1071 |
+
"epoch": 1.59,
|
1072 |
+
"learning_rate": 8.852526768780001e-05,
|
1073 |
+
"loss": 3.3909,
|
1074 |
+
"step": 875
|
1075 |
+
},
|
1076 |
+
{
|
1077 |
+
"epoch": 1.6,
|
1078 |
+
"learning_rate": 9.039501768595671e-05,
|
1079 |
+
"loss": 3.3281,
|
1080 |
+
"step": 880
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 1.61,
|
1084 |
+
"learning_rate": 9.224692654157222e-05,
|
1085 |
+
"loss": 3.4081,
|
1086 |
+
"step": 885
|
1087 |
+
},
|
1088 |
+
{
|
1089 |
+
"epoch": 1.62,
|
1090 |
+
"learning_rate": 9.407947830405896e-05,
|
1091 |
+
"loss": 3.3443,
|
1092 |
+
"step": 890
|
1093 |
+
},
|
1094 |
+
{
|
1095 |
+
"epoch": 1.63,
|
1096 |
+
"learning_rate": 9.589117286831579e-05,
|
1097 |
+
"loss": 3.2831,
|
1098 |
+
"step": 895
|
1099 |
+
},
|
1100 |
+
{
|
1101 |
+
"epoch": 1.64,
|
1102 |
+
"learning_rate": 9.768052720269644e-05,
|
1103 |
+
"loss": 3.3635,
|
1104 |
+
"step": 900
|
1105 |
+
},
|
1106 |
+
{
|
1107 |
+
"epoch": 1.65,
|
1108 |
+
"learning_rate": 9.944607656300112e-05,
|
1109 |
+
"loss": 3.3023,
|
1110 |
+
"step": 905
|
1111 |
+
},
|
1112 |
+
{
|
1113 |
+
"epoch": 1.66,
|
1114 |
+
"learning_rate": 0.0001011863756914993,
|
1115 |
+
"loss": 3.3958,
|
1116 |
+
"step": 910
|
1117 |
+
},
|
1118 |
+
{
|
1119 |
+
"epoch": 1.67,
|
1120 |
+
"learning_rate": 0.00010290000000000001,
|
1121 |
+
"loss": 3.439,
|
1122 |
+
"step": 915
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 1.68,
|
1126 |
+
"learning_rate": 0.00010458554673600303,
|
1127 |
+
"loss": 3.3205,
|
1128 |
+
"step": 920
|
1129 |
+
},
|
1130 |
+
{
|
1131 |
+
"epoch": 1.68,
|
1132 |
+
"learning_rate": 0.00010624163613097559,
|
1133 |
+
"loss": 3.3548,
|
1134 |
+
"step": 925
|
1135 |
+
},
|
1136 |
+
{
|
1137 |
+
"epoch": 1.69,
|
1138 |
+
"learning_rate": 0.00010786691252981412,
|
1139 |
+
"loss": 3.402,
|
1140 |
+
"step": 930
|
1141 |
+
},
|
1142 |
+
{
|
1143 |
+
"epoch": 1.7,
|
1144 |
+
"learning_rate": 0.00010946004550056765,
|
1145 |
+
"loss": 3.1367,
|
1146 |
+
"step": 935
|
1147 |
+
},
|
1148 |
+
{
|
1149 |
+
"epoch": 1.71,
|
1150 |
+
"learning_rate": 0.00011101973092351368,
|
1151 |
+
"loss": 3.3214,
|
1152 |
+
"step": 940
|
1153 |
+
},
|
1154 |
+
{
|
1155 |
+
"epoch": 1.72,
|
1156 |
+
"learning_rate": 0.0001125446920586948,
|
1157 |
+
"loss": 3.4555,
|
1158 |
+
"step": 945
|
1159 |
+
},
|
1160 |
+
{
|
1161 |
+
"epoch": 1.73,
|
1162 |
+
"learning_rate": 0.0001140336805910432,
|
1163 |
+
"loss": 3.1367,
|
1164 |
+
"step": 950
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 1.74,
|
1168 |
+
"learning_rate": 0.00011548547765223617,
|
1169 |
+
"loss": 3.391,
|
1170 |
+
"step": 955
|
1171 |
+
},
|
1172 |
+
{
|
1173 |
+
"epoch": 1.75,
|
1174 |
+
"learning_rate": 0.00011689889481844766,
|
1175 |
+
"loss": 3.0626,
|
1176 |
+
"step": 960
|
1177 |
+
},
|
1178 |
+
{
|
1179 |
+
"epoch": 1.76,
|
1180 |
+
"learning_rate": 0.00011827277508317747,
|
1181 |
+
"loss": 3.4176,
|
1182 |
+
"step": 965
|
1183 |
+
},
|
1184 |
+
{
|
1185 |
+
"epoch": 1.77,
|
1186 |
+
"learning_rate": 0.00011960599380436336,
|
1187 |
+
"loss": 3.2121,
|
1188 |
+
"step": 970
|
1189 |
+
},
|
1190 |
+
{
|
1191 |
+
"epoch": 1.78,
|
1192 |
+
"learning_rate": 0.00012089745962499954,
|
1193 |
+
"loss": 3.231,
|
1194 |
+
"step": 975
|
1195 |
+
},
|
1196 |
+
{
|
1197 |
+
"epoch": 1.79,
|
1198 |
+
"learning_rate": 0.00012214611536650856,
|
1199 |
+
"loss": 3.6329,
|
1200 |
+
"step": 980
|
1201 |
+
},
|
1202 |
+
{
|
1203 |
+
"epoch": 1.79,
|
1204 |
+
"learning_rate": 0.000123350938894135,
|
1205 |
+
"loss": 3.1573,
|
1206 |
+
"step": 985
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 1.8,
|
1210 |
+
"learning_rate": 0.00012451094395365327,
|
1211 |
+
"loss": 3.3721,
|
1212 |
+
"step": 990
|
1213 |
+
},
|
1214 |
+
{
|
1215 |
+
"epoch": 1.81,
|
1216 |
+
"learning_rate": 0.00012562518097870298,
|
1217 |
+
"loss": 3.3447,
|
1218 |
+
"step": 995
|
1219 |
+
},
|
1220 |
+
{
|
1221 |
+
"epoch": 1.82,
|
1222 |
+
"learning_rate": 0.0001266927378680932,
|
1223 |
+
"loss": 3.3603,
|
1224 |
+
"step": 1000
|
1225 |
+
},
|
1226 |
+
{
|
1227 |
+
"epoch": 1.83,
|
1228 |
+
"learning_rate": 0.00012771274073243748,
|
1229 |
+
"loss": 3.1145,
|
1230 |
+
"step": 1005
|
1231 |
+
},
|
1232 |
+
{
|
1233 |
+
"epoch": 1.84,
|
1234 |
+
"learning_rate": 0.00012868435460950916,
|
1235 |
+
"loss": 3.2607,
|
1236 |
+
"step": 1010
|
1237 |
+
},
|
1238 |
+
{
|
1239 |
+
"epoch": 1.85,
|
1240 |
+
"learning_rate": 0.00012960678414773185,
|
1241 |
+
"loss": 3.3824,
|
1242 |
+
"step": 1015
|
1243 |
+
},
|
1244 |
+
{
|
1245 |
+
"epoch": 1.86,
|
1246 |
+
"learning_rate": 0.00013047927425724446,
|
1247 |
+
"loss": 3.4136,
|
1248 |
+
"step": 1020
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 1.87,
|
1252 |
+
"learning_rate": 0.000131301110728009,
|
1253 |
+
"loss": 3.386,
|
1254 |
+
"step": 1025
|
1255 |
+
},
|
1256 |
+
{
|
1257 |
+
"epoch": 1.88,
|
1258 |
+
"learning_rate": 0.00013207162081445436,
|
1259 |
+
"loss": 3.2408,
|
1260 |
+
"step": 1030
|
1261 |
+
},
|
1262 |
+
{
|
1263 |
+
"epoch": 1.89,
|
1264 |
+
"learning_rate": 0.00013279017378617784,
|
1265 |
+
"loss": 3.2928,
|
1266 |
+
"step": 1035
|
1267 |
+
},
|
1268 |
+
{
|
1269 |
+
"epoch": 1.89,
|
1270 |
+
"learning_rate": 0.00013345618144425364,
|
1271 |
+
"loss": 3.16,
|
1272 |
+
"step": 1040
|
1273 |
+
},
|
1274 |
+
{
|
1275 |
+
"epoch": 1.9,
|
1276 |
+
"learning_rate": 0.00013406909860272533,
|
1277 |
+
"loss": 3.444,
|
1278 |
+
"step": 1045
|
1279 |
+
},
|
1280 |
+
{
|
1281 |
+
"epoch": 1.91,
|
1282 |
+
"learning_rate": 0.00013462842353488877,
|
1283 |
+
"loss": 3.5022,
|
1284 |
+
"step": 1050
|
1285 |
+
},
|
1286 |
+
{
|
1287 |
+
"epoch": 1.92,
|
1288 |
+
"learning_rate": 0.0001351336983839996,
|
1289 |
+
"loss": 3.4006,
|
1290 |
+
"step": 1055
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 1.93,
|
1294 |
+
"learning_rate": 0.00013558450953806924,
|
1295 |
+
"loss": 3.436,
|
1296 |
+
"step": 1060
|
1297 |
+
},
|
1298 |
+
{
|
1299 |
+
"epoch": 1.94,
|
1300 |
+
"learning_rate": 0.00013598048796844284,
|
1301 |
+
"loss": 3.3172,
|
1302 |
+
"step": 1065
|
1303 |
+
},
|
1304 |
+
{
|
1305 |
+
"epoch": 1.95,
|
1306 |
+
"learning_rate": 0.0001363213095318818,
|
1307 |
+
"loss": 3.4138,
|
1308 |
+
"step": 1070
|
1309 |
+
},
|
1310 |
+
{
|
1311 |
+
"epoch": 1.96,
|
1312 |
+
"learning_rate": 0.00013660669523590338,
|
1313 |
+
"loss": 3.3525,
|
1314 |
+
"step": 1075
|
1315 |
+
},
|
1316 |
+
{
|
1317 |
+
"epoch": 1.97,
|
1318 |
+
"learning_rate": 0.00013683641146716082,
|
1319 |
+
"loss": 3.5252,
|
1320 |
+
"step": 1080
|
1321 |
+
},
|
1322 |
+
{
|
1323 |
+
"epoch": 1.98,
|
1324 |
+
"learning_rate": 0.00013701027018267633,
|
1325 |
+
"loss": 3.264,
|
1326 |
+
"step": 1085
|
1327 |
+
},
|
1328 |
+
{
|
1329 |
+
"epoch": 1.99,
|
1330 |
+
"learning_rate": 0.00013712812906377096,
|
1331 |
+
"loss": 3.262,
|
1332 |
+
"step": 1090
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 1.99,
|
1336 |
+
"learning_rate": 0.00013718989163256484,
|
1337 |
+
"loss": 3.1863,
|
1338 |
+
"step": 1095
|
1339 |
+
},
|
1340 |
+
{
|
1341 |
+
"epoch": 2.0,
|
1342 |
+
"eval_loss": 3.2069807052612305,
|
1343 |
+
"eval_runtime": 34.3846,
|
1344 |
+
"eval_samples_per_second": 22.016,
|
1345 |
+
"eval_steps_per_second": 2.763,
|
1346 |
+
"step": 1098
|
1347 |
}
|
1348 |
],
|
1349 |
+
"max_steps": 1098,
|
1350 |
+
"num_train_epochs": 2,
|
1351 |
+
"total_flos": 1146157498368000.0,
|
1352 |
"trial_name": null,
|
1353 |
"trial_params": null
|
1354 |
}
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:93bde65575ca16798c05d90b196d6e2572649372b8eaf2784f4f116cb2de0f1f
|
3 |
+
size 3055
|