Training in progress, step 50, checkpoint
Browse files- last-checkpoint/README.md +202 -0
- last-checkpoint/adapter_config.json +33 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/merges.txt +0 -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_config.json +31 -0
- last-checkpoint/trainer_state.json +408 -0
- last-checkpoint/training_args.bin +3 -0
- last-checkpoint/vocab.json +0 -0
last-checkpoint/README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: facebook/opt-125m
|
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 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "facebook/opt-125m",
|
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 |
+
"v_proj",
|
24 |
+
"out_proj",
|
25 |
+
"fc1",
|
26 |
+
"q_proj",
|
27 |
+
"k_proj",
|
28 |
+
"fc2"
|
29 |
+
],
|
30 |
+
"task_type": "CAUSAL_LM",
|
31 |
+
"use_dora": false,
|
32 |
+
"use_rslora": false
|
33 |
+
}
|
last-checkpoint/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4a7000e601cb5a9cd586ee03d039dbe298a878abb366ffca8ebf6d4c1fff8453
|
3 |
+
size 42487072
|
last-checkpoint/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
last-checkpoint/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0117f27a5997cb993eee181aed0b1a1c561b64388a4de56380de98f4ff186281
|
3 |
+
size 21735354
|
last-checkpoint/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:eabdce164dade990d917b3c9b6a3af3255cd47435cb9c9c29dd790f589876746
|
3 |
+
size 14244
|
last-checkpoint/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1d359eb5d29e75fb2bbe5b7026981da69b95b8ad1fea469302d13cde104f7e8a
|
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": true,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": true,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "<pad>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": true,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"unk_token": {
|
24 |
+
"content": "</s>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": true,
|
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_config.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_prefix_space": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"1": {
|
6 |
+
"content": "<pad>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": true,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"2": {
|
14 |
+
"content": "</s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": true,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
}
|
21 |
+
},
|
22 |
+
"bos_token": "</s>",
|
23 |
+
"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 %}",
|
24 |
+
"clean_up_tokenization_spaces": false,
|
25 |
+
"eos_token": "</s>",
|
26 |
+
"errors": "replace",
|
27 |
+
"model_max_length": 1000000000000000019884624838656,
|
28 |
+
"pad_token": "<pad>",
|
29 |
+
"tokenizer_class": "GPT2Tokenizer",
|
30 |
+
"unk_token": "</s>"
|
31 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
@@ -0,0 +1,408 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 1.6890923976898193,
|
3 |
+
"best_model_checkpoint": "miner_id_24/checkpoint-50",
|
4 |
+
"epoch": 0.1718213058419244,
|
5 |
+
"eval_steps": 50,
|
6 |
+
"global_step": 50,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.003436426116838488,
|
13 |
+
"grad_norm": 5.5355377197265625,
|
14 |
+
"learning_rate": 1e-05,
|
15 |
+
"loss": 7.2406,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.003436426116838488,
|
20 |
+
"eval_loss": 2.125288486480713,
|
21 |
+
"eval_runtime": 3.0179,
|
22 |
+
"eval_samples_per_second": 162.363,
|
23 |
+
"eval_steps_per_second": 40.756,
|
24 |
+
"step": 1
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.006872852233676976,
|
28 |
+
"grad_norm": 5.726753234863281,
|
29 |
+
"learning_rate": 2e-05,
|
30 |
+
"loss": 7.1623,
|
31 |
+
"step": 2
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.010309278350515464,
|
35 |
+
"grad_norm": 5.353437900543213,
|
36 |
+
"learning_rate": 3e-05,
|
37 |
+
"loss": 7.2311,
|
38 |
+
"step": 3
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.013745704467353952,
|
42 |
+
"grad_norm": 4.229282855987549,
|
43 |
+
"learning_rate": 4e-05,
|
44 |
+
"loss": 7.1285,
|
45 |
+
"step": 4
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.01718213058419244,
|
49 |
+
"grad_norm": 3.9042792320251465,
|
50 |
+
"learning_rate": 5e-05,
|
51 |
+
"loss": 7.2782,
|
52 |
+
"step": 5
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 0.020618556701030927,
|
56 |
+
"grad_norm": 4.337910175323486,
|
57 |
+
"learning_rate": 6e-05,
|
58 |
+
"loss": 7.0836,
|
59 |
+
"step": 6
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.024054982817869417,
|
63 |
+
"grad_norm": 5.303788661956787,
|
64 |
+
"learning_rate": 7e-05,
|
65 |
+
"loss": 7.2594,
|
66 |
+
"step": 7
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.027491408934707903,
|
70 |
+
"grad_norm": 4.295900821685791,
|
71 |
+
"learning_rate": 8e-05,
|
72 |
+
"loss": 6.9564,
|
73 |
+
"step": 8
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.030927835051546393,
|
77 |
+
"grad_norm": 4.023930072784424,
|
78 |
+
"learning_rate": 9e-05,
|
79 |
+
"loss": 7.6314,
|
80 |
+
"step": 9
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.03436426116838488,
|
84 |
+
"grad_norm": 4.254703998565674,
|
85 |
+
"learning_rate": 0.0001,
|
86 |
+
"loss": 7.3141,
|
87 |
+
"step": 10
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.037800687285223365,
|
91 |
+
"grad_norm": 4.07050895690918,
|
92 |
+
"learning_rate": 9.999316524962345e-05,
|
93 |
+
"loss": 7.0516,
|
94 |
+
"step": 11
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 0.041237113402061855,
|
98 |
+
"grad_norm": 3.7074577808380127,
|
99 |
+
"learning_rate": 9.997266286704631e-05,
|
100 |
+
"loss": 7.2291,
|
101 |
+
"step": 12
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 0.044673539518900345,
|
105 |
+
"grad_norm": 3.841063976287842,
|
106 |
+
"learning_rate": 9.993849845741524e-05,
|
107 |
+
"loss": 7.1282,
|
108 |
+
"step": 13
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 0.048109965635738834,
|
112 |
+
"grad_norm": 3.5177736282348633,
|
113 |
+
"learning_rate": 9.989068136093873e-05,
|
114 |
+
"loss": 7.4098,
|
115 |
+
"step": 14
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 0.05154639175257732,
|
119 |
+
"grad_norm": 3.4582695960998535,
|
120 |
+
"learning_rate": 9.98292246503335e-05,
|
121 |
+
"loss": 6.9884,
|
122 |
+
"step": 15
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.054982817869415807,
|
126 |
+
"grad_norm": 3.5553205013275146,
|
127 |
+
"learning_rate": 9.975414512725057e-05,
|
128 |
+
"loss": 7.2802,
|
129 |
+
"step": 16
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.058419243986254296,
|
133 |
+
"grad_norm": 3.652503490447998,
|
134 |
+
"learning_rate": 9.966546331768191e-05,
|
135 |
+
"loss": 6.9503,
|
136 |
+
"step": 17
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.061855670103092786,
|
140 |
+
"grad_norm": 3.754910945892334,
|
141 |
+
"learning_rate": 9.956320346634876e-05,
|
142 |
+
"loss": 7.0223,
|
143 |
+
"step": 18
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 0.06529209621993128,
|
147 |
+
"grad_norm": 3.3444976806640625,
|
148 |
+
"learning_rate": 9.944739353007344e-05,
|
149 |
+
"loss": 6.919,
|
150 |
+
"step": 19
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 0.06872852233676977,
|
154 |
+
"grad_norm": 3.85040545463562,
|
155 |
+
"learning_rate": 9.931806517013612e-05,
|
156 |
+
"loss": 7.015,
|
157 |
+
"step": 20
|
158 |
+
},
|
159 |
+
{
|
160 |
+
"epoch": 0.07216494845360824,
|
161 |
+
"grad_norm": 3.338449001312256,
|
162 |
+
"learning_rate": 9.917525374361912e-05,
|
163 |
+
"loss": 6.8339,
|
164 |
+
"step": 21
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.07560137457044673,
|
168 |
+
"grad_norm": 3.5139732360839844,
|
169 |
+
"learning_rate": 9.901899829374047e-05,
|
170 |
+
"loss": 7.1054,
|
171 |
+
"step": 22
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.07903780068728522,
|
175 |
+
"grad_norm": 3.338864803314209,
|
176 |
+
"learning_rate": 9.884934153917997e-05,
|
177 |
+
"loss": 7.0334,
|
178 |
+
"step": 23
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 0.08247422680412371,
|
182 |
+
"grad_norm": 3.5280768871307373,
|
183 |
+
"learning_rate": 9.86663298624003e-05,
|
184 |
+
"loss": 6.9172,
|
185 |
+
"step": 24
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.0859106529209622,
|
189 |
+
"grad_norm": 3.7895593643188477,
|
190 |
+
"learning_rate": 9.847001329696653e-05,
|
191 |
+
"loss": 7.3838,
|
192 |
+
"step": 25
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 0.08934707903780069,
|
196 |
+
"grad_norm": 4.070635795593262,
|
197 |
+
"learning_rate": 9.826044551386744e-05,
|
198 |
+
"loss": 7.3445,
|
199 |
+
"step": 26
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 0.09278350515463918,
|
203 |
+
"grad_norm": 3.510694742202759,
|
204 |
+
"learning_rate": 9.803768380684242e-05,
|
205 |
+
"loss": 7.1226,
|
206 |
+
"step": 27
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.09621993127147767,
|
210 |
+
"grad_norm": 3.9243319034576416,
|
211 |
+
"learning_rate": 9.780178907671789e-05,
|
212 |
+
"loss": 6.834,
|
213 |
+
"step": 28
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.09965635738831616,
|
217 |
+
"grad_norm": 4.125380992889404,
|
218 |
+
"learning_rate": 9.755282581475769e-05,
|
219 |
+
"loss": 7.1731,
|
220 |
+
"step": 29
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 0.10309278350515463,
|
224 |
+
"grad_norm": 3.9437153339385986,
|
225 |
+
"learning_rate": 9.729086208503174e-05,
|
226 |
+
"loss": 7.0367,
|
227 |
+
"step": 30
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 0.10652920962199312,
|
231 |
+
"grad_norm": 3.753997564315796,
|
232 |
+
"learning_rate": 9.701596950580806e-05,
|
233 |
+
"loss": 6.7845,
|
234 |
+
"step": 31
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 0.10996563573883161,
|
238 |
+
"grad_norm": 4.580556392669678,
|
239 |
+
"learning_rate": 9.672822322997305e-05,
|
240 |
+
"loss": 7.0174,
|
241 |
+
"step": 32
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 0.1134020618556701,
|
245 |
+
"grad_norm": 4.476220607757568,
|
246 |
+
"learning_rate": 9.642770192448536e-05,
|
247 |
+
"loss": 7.0983,
|
248 |
+
"step": 33
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.11683848797250859,
|
252 |
+
"grad_norm": 4.243409156799316,
|
253 |
+
"learning_rate": 9.611448774886924e-05,
|
254 |
+
"loss": 6.7698,
|
255 |
+
"step": 34
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.12027491408934708,
|
259 |
+
"grad_norm": 4.007017612457275,
|
260 |
+
"learning_rate": 9.578866633275288e-05,
|
261 |
+
"loss": 6.918,
|
262 |
+
"step": 35
|
263 |
+
},
|
264 |
+
{
|
265 |
+
"epoch": 0.12371134020618557,
|
266 |
+
"grad_norm": 4.217367172241211,
|
267 |
+
"learning_rate": 9.545032675245813e-05,
|
268 |
+
"loss": 6.8922,
|
269 |
+
"step": 36
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 0.12714776632302405,
|
273 |
+
"grad_norm": 4.854759693145752,
|
274 |
+
"learning_rate": 9.509956150664796e-05,
|
275 |
+
"loss": 7.032,
|
276 |
+
"step": 37
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 0.13058419243986255,
|
280 |
+
"grad_norm": 4.690032958984375,
|
281 |
+
"learning_rate": 9.473646649103818e-05,
|
282 |
+
"loss": 7.1388,
|
283 |
+
"step": 38
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 0.13402061855670103,
|
287 |
+
"grad_norm": 4.548827648162842,
|
288 |
+
"learning_rate": 9.43611409721806e-05,
|
289 |
+
"loss": 7.1937,
|
290 |
+
"step": 39
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.13745704467353953,
|
294 |
+
"grad_norm": 4.140782833099365,
|
295 |
+
"learning_rate": 9.397368756032445e-05,
|
296 |
+
"loss": 6.9458,
|
297 |
+
"step": 40
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.140893470790378,
|
301 |
+
"grad_norm": 5.5810465812683105,
|
302 |
+
"learning_rate": 9.357421218136386e-05,
|
303 |
+
"loss": 7.3173,
|
304 |
+
"step": 41
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 0.14432989690721648,
|
308 |
+
"grad_norm": 4.514927387237549,
|
309 |
+
"learning_rate": 9.316282404787871e-05,
|
310 |
+
"loss": 7.0019,
|
311 |
+
"step": 42
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 0.14776632302405499,
|
315 |
+
"grad_norm": 4.381032943725586,
|
316 |
+
"learning_rate": 9.273963562927695e-05,
|
317 |
+
"loss": 6.505,
|
318 |
+
"step": 43
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 0.15120274914089346,
|
322 |
+
"grad_norm": 5.786319255828857,
|
323 |
+
"learning_rate": 9.230476262104677e-05,
|
324 |
+
"loss": 7.4478,
|
325 |
+
"step": 44
|
326 |
+
},
|
327 |
+
{
|
328 |
+
"epoch": 0.15463917525773196,
|
329 |
+
"grad_norm": 5.37347936630249,
|
330 |
+
"learning_rate": 9.185832391312644e-05,
|
331 |
+
"loss": 6.7931,
|
332 |
+
"step": 45
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.15807560137457044,
|
336 |
+
"grad_norm": 5.375253200531006,
|
337 |
+
"learning_rate": 9.140044155740101e-05,
|
338 |
+
"loss": 6.9072,
|
339 |
+
"step": 46
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.16151202749140894,
|
343 |
+
"grad_norm": 5.934044361114502,
|
344 |
+
"learning_rate": 9.093124073433463e-05,
|
345 |
+
"loss": 6.4266,
|
346 |
+
"step": 47
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 0.16494845360824742,
|
350 |
+
"grad_norm": 6.617461681365967,
|
351 |
+
"learning_rate": 9.045084971874738e-05,
|
352 |
+
"loss": 7.1077,
|
353 |
+
"step": 48
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 0.16838487972508592,
|
357 |
+
"grad_norm": 7.583418369293213,
|
358 |
+
"learning_rate": 8.995939984474624e-05,
|
359 |
+
"loss": 7.0657,
|
360 |
+
"step": 49
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 0.1718213058419244,
|
364 |
+
"grad_norm": 13.168756484985352,
|
365 |
+
"learning_rate": 8.945702546981969e-05,
|
366 |
+
"loss": 7.0755,
|
367 |
+
"step": 50
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 0.1718213058419244,
|
371 |
+
"eval_loss": 1.6890923976898193,
|
372 |
+
"eval_runtime": 3.0745,
|
373 |
+
"eval_samples_per_second": 159.375,
|
374 |
+
"eval_steps_per_second": 40.006,
|
375 |
+
"step": 50
|
376 |
+
}
|
377 |
+
],
|
378 |
+
"logging_steps": 1,
|
379 |
+
"max_steps": 200,
|
380 |
+
"num_input_tokens_seen": 0,
|
381 |
+
"num_train_epochs": 1,
|
382 |
+
"save_steps": 50,
|
383 |
+
"stateful_callbacks": {
|
384 |
+
"EarlyStoppingCallback": {
|
385 |
+
"args": {
|
386 |
+
"early_stopping_patience": 5,
|
387 |
+
"early_stopping_threshold": 0.0
|
388 |
+
},
|
389 |
+
"attributes": {
|
390 |
+
"early_stopping_patience_counter": 0
|
391 |
+
}
|
392 |
+
},
|
393 |
+
"TrainerControl": {
|
394 |
+
"args": {
|
395 |
+
"should_epoch_stop": false,
|
396 |
+
"should_evaluate": false,
|
397 |
+
"should_log": false,
|
398 |
+
"should_save": true,
|
399 |
+
"should_training_stop": false
|
400 |
+
},
|
401 |
+
"attributes": {}
|
402 |
+
}
|
403 |
+
},
|
404 |
+
"total_flos": 982824807038976.0,
|
405 |
+
"train_batch_size": 8,
|
406 |
+
"trial_name": null,
|
407 |
+
"trial_params": null
|
408 |
+
}
|
last-checkpoint/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0d45b3872c34948eb0197da74f292b0a95cd5c8f1407f76b771c16f03dd3758e
|
3 |
+
size 6840
|
last-checkpoint/vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|