dimasik1987
commited on
Commit
•
48ed5cf
1
Parent(s):
59c7f36
Training in progress, step 25, checkpoint
Browse files- last-checkpoint/README.md +202 -0
- last-checkpoint/adapter_config.json +34 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/special_tokens_map.json +30 -0
- last-checkpoint/tokenizer.json +0 -0
- last-checkpoint/tokenizer.model +3 -0
- last-checkpoint/tokenizer_config.json +43 -0
- last-checkpoint/trainer_state.json +280 -0
- last-checkpoint/training_args.bin +3 -0
last-checkpoint/README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
|
3 |
+
library_name: peft
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.13.2
|
last-checkpoint/adapter_config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": null,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 128,
|
14 |
+
"lora_dropout": 0.05,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 64,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"gate_proj",
|
24 |
+
"v_proj",
|
25 |
+
"down_proj",
|
26 |
+
"k_proj",
|
27 |
+
"up_proj",
|
28 |
+
"q_proj",
|
29 |
+
"o_proj"
|
30 |
+
],
|
31 |
+
"task_type": "CAUSAL_LM",
|
32 |
+
"use_dora": false,
|
33 |
+
"use_rslora": false
|
34 |
+
}
|
last-checkpoint/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:30cc02ce771b2ee2adaba621bfaa6b726503fc4ed13f9c0c275e205576055192
|
3 |
+
size 201892112
|
last-checkpoint/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f7cc42e26859aebd49f26c2bdfe51153e8fadd87217aab9013d4c1ca272455fe
|
3 |
+
size 403961210
|
last-checkpoint/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5e5015c45dd83e9e7e9e32b59f54a7285415d0d92b96f68a1dcdb93c6c739b81
|
3 |
+
size 14244
|
last-checkpoint/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4677d15317405bcdd600dfdae9d04715d81517a0dbc7789a073149e371184d8c
|
3 |
+
size 1064
|
last-checkpoint/special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "</s>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"unk_token": {
|
24 |
+
"content": "<unk>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
last-checkpoint/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
last-checkpoint/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|
last-checkpoint/tokenizer_config.json
ADDED
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": null,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": true
|
29 |
+
}
|
30 |
+
},
|
31 |
+
"bos_token": "<s>",
|
32 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
|
33 |
+
"clean_up_tokenization_spaces": false,
|
34 |
+
"eos_token": "</s>",
|
35 |
+
"legacy": false,
|
36 |
+
"model_max_length": 2048,
|
37 |
+
"pad_token": "</s>",
|
38 |
+
"padding_side": "right",
|
39 |
+
"sp_model_kwargs": {},
|
40 |
+
"tokenizer_class": "LlamaTokenizer",
|
41 |
+
"unk_token": "<unk>",
|
42 |
+
"use_default_system_prompt": false
|
43 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
@@ -0,0 +1,280 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.01633186346562143,
|
5 |
+
"eval_steps": 3,
|
6 |
+
"global_step": 25,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0006532745386248571,
|
13 |
+
"grad_norm": 0.5963796377182007,
|
14 |
+
"learning_rate": 5e-05,
|
15 |
+
"loss": 1.1508,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.0006532745386248571,
|
20 |
+
"eval_loss": 1.2967846393585205,
|
21 |
+
"eval_runtime": 400.7493,
|
22 |
+
"eval_samples_per_second": 6.433,
|
23 |
+
"eval_steps_per_second": 1.609,
|
24 |
+
"step": 1
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.0013065490772497142,
|
28 |
+
"grad_norm": 0.6392633318901062,
|
29 |
+
"learning_rate": 0.0001,
|
30 |
+
"loss": 1.2868,
|
31 |
+
"step": 2
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.0019598236158745713,
|
35 |
+
"grad_norm": 0.6073038578033447,
|
36 |
+
"learning_rate": 9.953429730181653e-05,
|
37 |
+
"loss": 1.1726,
|
38 |
+
"step": 3
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.0019598236158745713,
|
42 |
+
"eval_loss": 1.2707507610321045,
|
43 |
+
"eval_runtime": 402.7641,
|
44 |
+
"eval_samples_per_second": 6.401,
|
45 |
+
"eval_steps_per_second": 1.601,
|
46 |
+
"step": 3
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"epoch": 0.0026130981544994283,
|
50 |
+
"grad_norm": 0.6297516822814941,
|
51 |
+
"learning_rate": 9.814586436738998e-05,
|
52 |
+
"loss": 1.2031,
|
53 |
+
"step": 4
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 0.0032663726931242854,
|
57 |
+
"grad_norm": 0.5256909728050232,
|
58 |
+
"learning_rate": 9.586056507527266e-05,
|
59 |
+
"loss": 1.1517,
|
60 |
+
"step": 5
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 0.0039196472317491425,
|
64 |
+
"grad_norm": 0.5755878686904907,
|
65 |
+
"learning_rate": 9.272097022732443e-05,
|
66 |
+
"loss": 1.328,
|
67 |
+
"step": 6
|
68 |
+
},
|
69 |
+
{
|
70 |
+
"epoch": 0.0039196472317491425,
|
71 |
+
"eval_loss": 1.2350541353225708,
|
72 |
+
"eval_runtime": 402.0728,
|
73 |
+
"eval_samples_per_second": 6.412,
|
74 |
+
"eval_steps_per_second": 1.604,
|
75 |
+
"step": 6
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.004572921770374,
|
79 |
+
"grad_norm": 0.5528045892715454,
|
80 |
+
"learning_rate": 8.8785564535221e-05,
|
81 |
+
"loss": 1.2442,
|
82 |
+
"step": 7
|
83 |
+
},
|
84 |
+
{
|
85 |
+
"epoch": 0.005226196308998857,
|
86 |
+
"grad_norm": 0.5592995882034302,
|
87 |
+
"learning_rate": 8.412765716093272e-05,
|
88 |
+
"loss": 1.1386,
|
89 |
+
"step": 8
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 0.005879470847623714,
|
93 |
+
"grad_norm": 0.626818060874939,
|
94 |
+
"learning_rate": 7.883401610574336e-05,
|
95 |
+
"loss": 1.3114,
|
96 |
+
"step": 9
|
97 |
+
},
|
98 |
+
{
|
99 |
+
"epoch": 0.005879470847623714,
|
100 |
+
"eval_loss": 1.2249033451080322,
|
101 |
+
"eval_runtime": 402.0303,
|
102 |
+
"eval_samples_per_second": 6.412,
|
103 |
+
"eval_steps_per_second": 1.604,
|
104 |
+
"step": 9
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.006532745386248571,
|
108 |
+
"grad_norm": 0.5507422089576721,
|
109 |
+
"learning_rate": 7.300325188655761e-05,
|
110 |
+
"loss": 1.1543,
|
111 |
+
"step": 10
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.007186019924873428,
|
115 |
+
"grad_norm": 0.6158396005630493,
|
116 |
+
"learning_rate": 6.674398060854931e-05,
|
117 |
+
"loss": 1.2007,
|
118 |
+
"step": 11
|
119 |
+
},
|
120 |
+
{
|
121 |
+
"epoch": 0.007839294463498285,
|
122 |
+
"grad_norm": 0.582711935043335,
|
123 |
+
"learning_rate": 6.01728006526317e-05,
|
124 |
+
"loss": 1.2875,
|
125 |
+
"step": 12
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 0.007839294463498285,
|
129 |
+
"eval_loss": 1.2190592288970947,
|
130 |
+
"eval_runtime": 401.9323,
|
131 |
+
"eval_samples_per_second": 6.414,
|
132 |
+
"eval_steps_per_second": 1.605,
|
133 |
+
"step": 12
|
134 |
+
},
|
135 |
+
{
|
136 |
+
"epoch": 0.008492569002123142,
|
137 |
+
"grad_norm": 0.7021968960762024,
|
138 |
+
"learning_rate": 5.341212066823355e-05,
|
139 |
+
"loss": 1.3059,
|
140 |
+
"step": 13
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.009145843540748,
|
144 |
+
"grad_norm": 0.5167236328125,
|
145 |
+
"learning_rate": 4.658787933176646e-05,
|
146 |
+
"loss": 1.1782,
|
147 |
+
"step": 14
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 0.009799118079372856,
|
151 |
+
"grad_norm": 0.5842359662055969,
|
152 |
+
"learning_rate": 3.982719934736832e-05,
|
153 |
+
"loss": 1.2259,
|
154 |
+
"step": 15
|
155 |
+
},
|
156 |
+
{
|
157 |
+
"epoch": 0.009799118079372856,
|
158 |
+
"eval_loss": 1.2140125036239624,
|
159 |
+
"eval_runtime": 402.6801,
|
160 |
+
"eval_samples_per_second": 6.402,
|
161 |
+
"eval_steps_per_second": 1.602,
|
162 |
+
"step": 15
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 0.010452392617997713,
|
166 |
+
"grad_norm": 0.6493592858314514,
|
167 |
+
"learning_rate": 3.325601939145069e-05,
|
168 |
+
"loss": 1.1797,
|
169 |
+
"step": 16
|
170 |
+
},
|
171 |
+
{
|
172 |
+
"epoch": 0.01110566715662257,
|
173 |
+
"grad_norm": 0.5524556636810303,
|
174 |
+
"learning_rate": 2.6996748113442394e-05,
|
175 |
+
"loss": 1.2013,
|
176 |
+
"step": 17
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.011758941695247428,
|
180 |
+
"grad_norm": 0.6769681572914124,
|
181 |
+
"learning_rate": 2.1165983894256647e-05,
|
182 |
+
"loss": 1.2394,
|
183 |
+
"step": 18
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 0.011758941695247428,
|
187 |
+
"eval_loss": 1.2114737033843994,
|
188 |
+
"eval_runtime": 403.2749,
|
189 |
+
"eval_samples_per_second": 6.393,
|
190 |
+
"eval_steps_per_second": 1.599,
|
191 |
+
"step": 18
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.012412216233872285,
|
195 |
+
"grad_norm": 0.5104557871818542,
|
196 |
+
"learning_rate": 1.5872342839067306e-05,
|
197 |
+
"loss": 1.2101,
|
198 |
+
"step": 19
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.013065490772497142,
|
202 |
+
"grad_norm": 0.4540850818157196,
|
203 |
+
"learning_rate": 1.1214435464779006e-05,
|
204 |
+
"loss": 1.171,
|
205 |
+
"step": 20
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.013718765311121999,
|
209 |
+
"grad_norm": 0.483037531375885,
|
210 |
+
"learning_rate": 7.2790297726755716e-06,
|
211 |
+
"loss": 1.1566,
|
212 |
+
"step": 21
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.013718765311121999,
|
216 |
+
"eval_loss": 1.2103384733200073,
|
217 |
+
"eval_runtime": 402.9848,
|
218 |
+
"eval_samples_per_second": 6.397,
|
219 |
+
"eval_steps_per_second": 1.601,
|
220 |
+
"step": 21
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 0.014372039849746856,
|
224 |
+
"grad_norm": 0.5860415697097778,
|
225 |
+
"learning_rate": 4.139434924727359e-06,
|
226 |
+
"loss": 1.2214,
|
227 |
+
"step": 22
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 0.015025314388371713,
|
231 |
+
"grad_norm": 0.5485131144523621,
|
232 |
+
"learning_rate": 1.8541356326100433e-06,
|
233 |
+
"loss": 1.1605,
|
234 |
+
"step": 23
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 0.01567858892699657,
|
238 |
+
"grad_norm": 0.45531585812568665,
|
239 |
+
"learning_rate": 4.6570269818346224e-07,
|
240 |
+
"loss": 1.1747,
|
241 |
+
"step": 24
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 0.01567858892699657,
|
245 |
+
"eval_loss": 1.2099705934524536,
|
246 |
+
"eval_runtime": 402.0889,
|
247 |
+
"eval_samples_per_second": 6.412,
|
248 |
+
"eval_steps_per_second": 1.604,
|
249 |
+
"step": 24
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.01633186346562143,
|
253 |
+
"grad_norm": 0.5713936686515808,
|
254 |
+
"learning_rate": 0.0,
|
255 |
+
"loss": 1.2352,
|
256 |
+
"step": 25
|
257 |
+
}
|
258 |
+
],
|
259 |
+
"logging_steps": 1,
|
260 |
+
"max_steps": 25,
|
261 |
+
"num_input_tokens_seen": 0,
|
262 |
+
"num_train_epochs": 1,
|
263 |
+
"save_steps": 25,
|
264 |
+
"stateful_callbacks": {
|
265 |
+
"TrainerControl": {
|
266 |
+
"args": {
|
267 |
+
"should_epoch_stop": false,
|
268 |
+
"should_evaluate": false,
|
269 |
+
"should_log": false,
|
270 |
+
"should_save": true,
|
271 |
+
"should_training_stop": true
|
272 |
+
},
|
273 |
+
"attributes": {}
|
274 |
+
}
|
275 |
+
},
|
276 |
+
"total_flos": 2.13314785247232e+16,
|
277 |
+
"train_batch_size": 4,
|
278 |
+
"trial_name": null,
|
279 |
+
"trial_params": null
|
280 |
+
}
|
last-checkpoint/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:88ffef77f619bc142124e810a4142745b1e5f37bd7a085ffe1036da7716ed874
|
3 |
+
size 6776
|