Training in progress, step 700, checkpoint
Browse files- checkpoint-700/README.md +202 -0
- checkpoint-700/adapter_config.json +29 -0
- checkpoint-700/adapter_model.safetensors +3 -0
- checkpoint-700/added_tokens.json +5 -0
- checkpoint-700/merges.txt +0 -0
- checkpoint-700/optimizer.pt +3 -0
- checkpoint-700/rng_state.pth +3 -0
- checkpoint-700/scheduler.pt +3 -0
- checkpoint-700/special_tokens_map.json +20 -0
- checkpoint-700/tokenizer.json +0 -0
- checkpoint-700/tokenizer_config.json +43 -0
- checkpoint-700/trainer_state.json +441 -0
- checkpoint-700/training_args.bin +3 -0
- checkpoint-700/vocab.json +0 -0
checkpoint-700/README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: Qwen/Qwen1.5-4B-Chat
|
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 0.10.0
|
checkpoint-700/adapter_config.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "Qwen/Qwen1.5-4B-Chat",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
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": 32,
|
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": 16,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"k_proj",
|
24 |
+
"q_proj"
|
25 |
+
],
|
26 |
+
"task_type": "CAUSAL_LM",
|
27 |
+
"use_dora": false,
|
28 |
+
"use_rslora": false
|
29 |
+
}
|
checkpoint-700/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:28a8333512bbd05186324a6ff87f3bf7b788641f4a0f3c317cc239c6b1b35cc5
|
3 |
+
size 26235864
|
checkpoint-700/added_tokens.json
ADDED
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<|endoftext|>": 151643,
|
3 |
+
"<|im_end|>": 151645,
|
4 |
+
"<|im_start|>": 151644
|
5 |
+
}
|
checkpoint-700/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-700/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:62caf055f62569f5902589fd9f9bdf65de5ddd11f67e092810f6b42b56992206
|
3 |
+
size 52523514
|
checkpoint-700/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e8f6e5d9be22014216545c36b804474d8f4069ef88196e4d5838220b9b830c28
|
3 |
+
size 14244
|
checkpoint-700/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:07e03f731a6463860d890acff883f0dc1ca0100cdf76318170aec93157da83e4
|
3 |
+
size 1064
|
checkpoint-700/special_tokens_map.json
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<|im_start|>",
|
4 |
+
"<|im_end|>"
|
5 |
+
],
|
6 |
+
"eos_token": {
|
7 |
+
"content": "<|im_end|>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false
|
12 |
+
},
|
13 |
+
"pad_token": {
|
14 |
+
"content": "<|endoftext|>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false
|
19 |
+
}
|
20 |
+
}
|
checkpoint-700/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-700/tokenizer_config.json
ADDED
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"151643": {
|
5 |
+
"content": "<|endoftext|>",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": false,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": true
|
11 |
+
},
|
12 |
+
"151644": {
|
13 |
+
"content": "<|im_start|>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": false,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false,
|
18 |
+
"special": true
|
19 |
+
},
|
20 |
+
"151645": {
|
21 |
+
"content": "<|im_end|>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false,
|
26 |
+
"special": true
|
27 |
+
}
|
28 |
+
},
|
29 |
+
"additional_special_tokens": [
|
30 |
+
"<|im_start|>",
|
31 |
+
"<|im_end|>"
|
32 |
+
],
|
33 |
+
"bos_token": null,
|
34 |
+
"chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
35 |
+
"clean_up_tokenization_spaces": false,
|
36 |
+
"eos_token": "<|im_end|>",
|
37 |
+
"errors": "replace",
|
38 |
+
"model_max_length": 32768,
|
39 |
+
"pad_token": "<|endoftext|>",
|
40 |
+
"split_special_tokens": false,
|
41 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
42 |
+
"unk_token": null
|
43 |
+
}
|
checkpoint-700/trainer_state.json
ADDED
@@ -0,0 +1,441 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 2.203244924545288,
|
3 |
+
"best_model_checkpoint": "./Qwen2-4B-Chat-hinglish-sft/checkpoint-700",
|
4 |
+
"epoch": 2.7805362462760677,
|
5 |
+
"eval_steps": 25,
|
6 |
+
"global_step": 700,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.1,
|
13 |
+
"grad_norm": 1.1830133199691772,
|
14 |
+
"learning_rate": 0.00019999629591162656,
|
15 |
+
"loss": 4.7862,
|
16 |
+
"step": 25
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.1,
|
20 |
+
"eval_loss": 4.098670482635498,
|
21 |
+
"eval_runtime": 4.1063,
|
22 |
+
"eval_samples_per_second": 2.679,
|
23 |
+
"eval_steps_per_second": 2.679,
|
24 |
+
"step": 25
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.2,
|
28 |
+
"grad_norm": 1.0619295835494995,
|
29 |
+
"learning_rate": 0.00019932568492674144,
|
30 |
+
"loss": 2.9161,
|
31 |
+
"step": 50
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.2,
|
35 |
+
"eval_loss": 3.1406357288360596,
|
36 |
+
"eval_runtime": 4.0777,
|
37 |
+
"eval_samples_per_second": 2.698,
|
38 |
+
"eval_steps_per_second": 2.698,
|
39 |
+
"step": 50
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.3,
|
43 |
+
"grad_norm": 1.1028335094451904,
|
44 |
+
"learning_rate": 0.0001975064532257195,
|
45 |
+
"loss": 2.4282,
|
46 |
+
"step": 75
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"epoch": 0.3,
|
50 |
+
"eval_loss": 2.8003995418548584,
|
51 |
+
"eval_runtime": 4.076,
|
52 |
+
"eval_samples_per_second": 2.699,
|
53 |
+
"eval_steps_per_second": 2.699,
|
54 |
+
"step": 75
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 0.4,
|
58 |
+
"grad_norm": 0.9855464100837708,
|
59 |
+
"learning_rate": 0.00019455963874271426,
|
60 |
+
"loss": 2.2815,
|
61 |
+
"step": 100
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"epoch": 0.4,
|
65 |
+
"eval_loss": 2.6393470764160156,
|
66 |
+
"eval_runtime": 4.084,
|
67 |
+
"eval_samples_per_second": 2.693,
|
68 |
+
"eval_steps_per_second": 2.693,
|
69 |
+
"step": 100
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.5,
|
73 |
+
"grad_norm": 1.154259204864502,
|
74 |
+
"learning_rate": 0.00019051931898913976,
|
75 |
+
"loss": 2.1485,
|
76 |
+
"step": 125
|
77 |
+
},
|
78 |
+
{
|
79 |
+
"epoch": 0.5,
|
80 |
+
"eval_loss": 2.5862808227539062,
|
81 |
+
"eval_runtime": 4.0324,
|
82 |
+
"eval_samples_per_second": 2.728,
|
83 |
+
"eval_steps_per_second": 2.728,
|
84 |
+
"step": 125
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 0.6,
|
88 |
+
"grad_norm": 1.2115691900253296,
|
89 |
+
"learning_rate": 0.0001854322169749827,
|
90 |
+
"loss": 2.0884,
|
91 |
+
"step": 150
|
92 |
+
},
|
93 |
+
{
|
94 |
+
"epoch": 0.6,
|
95 |
+
"eval_loss": 2.491671323776245,
|
96 |
+
"eval_runtime": 4.0837,
|
97 |
+
"eval_samples_per_second": 2.694,
|
98 |
+
"eval_steps_per_second": 2.694,
|
99 |
+
"step": 150
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.7,
|
103 |
+
"grad_norm": 1.0713191032409668,
|
104 |
+
"learning_rate": 0.00017935716089521474,
|
105 |
+
"loss": 2.1055,
|
106 |
+
"step": 175
|
107 |
+
},
|
108 |
+
{
|
109 |
+
"epoch": 0.7,
|
110 |
+
"eval_loss": 2.4541499614715576,
|
111 |
+
"eval_runtime": 4.0493,
|
112 |
+
"eval_samples_per_second": 2.717,
|
113 |
+
"eval_steps_per_second": 2.717,
|
114 |
+
"step": 175
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.79,
|
118 |
+
"grad_norm": 1.1404445171356201,
|
119 |
+
"learning_rate": 0.00017236440382959126,
|
120 |
+
"loss": 2.1012,
|
121 |
+
"step": 200
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.79,
|
125 |
+
"eval_loss": 2.42814040184021,
|
126 |
+
"eval_runtime": 4.0309,
|
127 |
+
"eval_samples_per_second": 2.729,
|
128 |
+
"eval_steps_per_second": 2.729,
|
129 |
+
"step": 200
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.89,
|
133 |
+
"grad_norm": 1.1801480054855347,
|
134 |
+
"learning_rate": 0.00016453481132295506,
|
135 |
+
"loss": 1.9956,
|
136 |
+
"step": 225
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.89,
|
140 |
+
"eval_loss": 2.3967058658599854,
|
141 |
+
"eval_runtime": 4.0145,
|
142 |
+
"eval_samples_per_second": 2.74,
|
143 |
+
"eval_steps_per_second": 2.74,
|
144 |
+
"step": 225
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 0.99,
|
148 |
+
"grad_norm": 1.2651640176773071,
|
149 |
+
"learning_rate": 0.00015595892624101765,
|
150 |
+
"loss": 1.9931,
|
151 |
+
"step": 250
|
152 |
+
},
|
153 |
+
{
|
154 |
+
"epoch": 0.99,
|
155 |
+
"eval_loss": 2.3804991245269775,
|
156 |
+
"eval_runtime": 4.0509,
|
157 |
+
"eval_samples_per_second": 2.715,
|
158 |
+
"eval_steps_per_second": 2.715,
|
159 |
+
"step": 250
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 1.09,
|
163 |
+
"grad_norm": 1.2018358707427979,
|
164 |
+
"learning_rate": 0.00014673592171580025,
|
165 |
+
"loss": 1.7605,
|
166 |
+
"step": 275
|
167 |
+
},
|
168 |
+
{
|
169 |
+
"epoch": 1.09,
|
170 |
+
"eval_loss": 2.358070135116577,
|
171 |
+
"eval_runtime": 4.0302,
|
172 |
+
"eval_samples_per_second": 2.729,
|
173 |
+
"eval_steps_per_second": 2.729,
|
174 |
+
"step": 275
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 1.19,
|
178 |
+
"grad_norm": 1.2622418403625488,
|
179 |
+
"learning_rate": 0.00013697245428906732,
|
180 |
+
"loss": 1.9231,
|
181 |
+
"step": 300
|
182 |
+
},
|
183 |
+
{
|
184 |
+
"epoch": 1.19,
|
185 |
+
"eval_loss": 2.3286843299865723,
|
186 |
+
"eval_runtime": 4.0327,
|
187 |
+
"eval_samples_per_second": 2.728,
|
188 |
+
"eval_steps_per_second": 2.728,
|
189 |
+
"step": 300
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 1.29,
|
193 |
+
"grad_norm": 1.324831247329712,
|
194 |
+
"learning_rate": 0.00012678143051621742,
|
195 |
+
"loss": 1.8805,
|
196 |
+
"step": 325
|
197 |
+
},
|
198 |
+
{
|
199 |
+
"epoch": 1.29,
|
200 |
+
"eval_loss": 2.3032760620117188,
|
201 |
+
"eval_runtime": 4.0494,
|
202 |
+
"eval_samples_per_second": 2.716,
|
203 |
+
"eval_steps_per_second": 2.716,
|
204 |
+
"step": 325
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 1.39,
|
208 |
+
"grad_norm": 1.242129921913147,
|
209 |
+
"learning_rate": 0.00011628070129385169,
|
210 |
+
"loss": 1.8475,
|
211 |
+
"step": 350
|
212 |
+
},
|
213 |
+
{
|
214 |
+
"epoch": 1.39,
|
215 |
+
"eval_loss": 2.2904257774353027,
|
216 |
+
"eval_runtime": 4.0806,
|
217 |
+
"eval_samples_per_second": 2.696,
|
218 |
+
"eval_steps_per_second": 2.696,
|
219 |
+
"step": 350
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 1.49,
|
223 |
+
"grad_norm": 1.2501651048660278,
|
224 |
+
"learning_rate": 0.00010559169901006034,
|
225 |
+
"loss": 1.8282,
|
226 |
+
"step": 375
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 1.49,
|
230 |
+
"eval_loss": 2.2831265926361084,
|
231 |
+
"eval_runtime": 4.0586,
|
232 |
+
"eval_samples_per_second": 2.71,
|
233 |
+
"eval_steps_per_second": 2.71,
|
234 |
+
"step": 375
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 1.59,
|
238 |
+
"grad_norm": 1.2264453172683716,
|
239 |
+
"learning_rate": 9.483803327767462e-05,
|
240 |
+
"loss": 1.8311,
|
241 |
+
"step": 400
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 1.59,
|
245 |
+
"eval_loss": 2.2586615085601807,
|
246 |
+
"eval_runtime": 4.0884,
|
247 |
+
"eval_samples_per_second": 2.691,
|
248 |
+
"eval_steps_per_second": 2.691,
|
249 |
+
"step": 400
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 1.69,
|
253 |
+
"grad_norm": 1.2421507835388184,
|
254 |
+
"learning_rate": 8.414406148968657e-05,
|
255 |
+
"loss": 1.8051,
|
256 |
+
"step": 425
|
257 |
+
},
|
258 |
+
{
|
259 |
+
"epoch": 1.69,
|
260 |
+
"eval_loss": 2.2608296871185303,
|
261 |
+
"eval_runtime": 4.0277,
|
262 |
+
"eval_samples_per_second": 2.731,
|
263 |
+
"eval_steps_per_second": 2.731,
|
264 |
+
"step": 425
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 1.79,
|
268 |
+
"grad_norm": 1.4312422275543213,
|
269 |
+
"learning_rate": 7.363345072719929e-05,
|
270 |
+
"loss": 1.8093,
|
271 |
+
"step": 450
|
272 |
+
},
|
273 |
+
{
|
274 |
+
"epoch": 1.79,
|
275 |
+
"eval_loss": 2.249046564102173,
|
276 |
+
"eval_runtime": 4.1182,
|
277 |
+
"eval_samples_per_second": 2.671,
|
278 |
+
"eval_steps_per_second": 2.671,
|
279 |
+
"step": 450
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 1.89,
|
283 |
+
"grad_norm": 1.3606431484222412,
|
284 |
+
"learning_rate": 6.342774765027309e-05,
|
285 |
+
"loss": 1.6944,
|
286 |
+
"step": 475
|
287 |
+
},
|
288 |
+
{
|
289 |
+
"epoch": 1.89,
|
290 |
+
"eval_loss": 2.2398183345794678,
|
291 |
+
"eval_runtime": 4.0501,
|
292 |
+
"eval_samples_per_second": 2.716,
|
293 |
+
"eval_steps_per_second": 2.716,
|
294 |
+
"step": 475
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 1.99,
|
298 |
+
"grad_norm": 1.4951516389846802,
|
299 |
+
"learning_rate": 5.3644972909714906e-05,
|
300 |
+
"loss": 1.7418,
|
301 |
+
"step": 500
|
302 |
+
},
|
303 |
+
{
|
304 |
+
"epoch": 1.99,
|
305 |
+
"eval_loss": 2.2147467136383057,
|
306 |
+
"eval_runtime": 4.0963,
|
307 |
+
"eval_samples_per_second": 2.685,
|
308 |
+
"eval_steps_per_second": 2.685,
|
309 |
+
"step": 500
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 2.09,
|
313 |
+
"grad_norm": 1.3656489849090576,
|
314 |
+
"learning_rate": 4.439825633429557e-05,
|
315 |
+
"loss": 1.741,
|
316 |
+
"step": 525
|
317 |
+
},
|
318 |
+
{
|
319 |
+
"epoch": 2.09,
|
320 |
+
"eval_loss": 2.20865797996521,
|
321 |
+
"eval_runtime": 4.08,
|
322 |
+
"eval_samples_per_second": 2.696,
|
323 |
+
"eval_steps_per_second": 2.696,
|
324 |
+
"step": 525
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 2.18,
|
328 |
+
"grad_norm": 1.3683630228042603,
|
329 |
+
"learning_rate": 3.579452867634364e-05,
|
330 |
+
"loss": 1.6561,
|
331 |
+
"step": 550
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 2.18,
|
335 |
+
"eval_loss": 2.2086095809936523,
|
336 |
+
"eval_runtime": 4.0702,
|
337 |
+
"eval_samples_per_second": 2.703,
|
338 |
+
"eval_steps_per_second": 2.703,
|
339 |
+
"step": 550
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 2.28,
|
343 |
+
"grad_norm": 1.668961524963379,
|
344 |
+
"learning_rate": 2.793328504461391e-05,
|
345 |
+
"loss": 1.6894,
|
346 |
+
"step": 575
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 2.28,
|
350 |
+
"eval_loss": 2.2114932537078857,
|
351 |
+
"eval_runtime": 4.085,
|
352 |
+
"eval_samples_per_second": 2.693,
|
353 |
+
"eval_steps_per_second": 2.693,
|
354 |
+
"step": 575
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 2.38,
|
358 |
+
"grad_norm": 1.3654729127883911,
|
359 |
+
"learning_rate": 2.0905434324322283e-05,
|
360 |
+
"loss": 1.5617,
|
361 |
+
"step": 600
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 2.38,
|
365 |
+
"eval_loss": 2.2105047702789307,
|
366 |
+
"eval_runtime": 4.0226,
|
367 |
+
"eval_samples_per_second": 2.735,
|
368 |
+
"eval_steps_per_second": 2.735,
|
369 |
+
"step": 600
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 2.48,
|
373 |
+
"grad_norm": 1.1611803770065308,
|
374 |
+
"learning_rate": 1.4792247889869071e-05,
|
375 |
+
"loss": 1.6809,
|
376 |
+
"step": 625
|
377 |
+
},
|
378 |
+
{
|
379 |
+
"epoch": 2.48,
|
380 |
+
"eval_loss": 2.2049694061279297,
|
381 |
+
"eval_runtime": 4.0427,
|
382 |
+
"eval_samples_per_second": 2.721,
|
383 |
+
"eval_steps_per_second": 2.721,
|
384 |
+
"step": 625
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 2.58,
|
388 |
+
"grad_norm": 1.6043980121612549,
|
389 |
+
"learning_rate": 9.664419767531564e-06,
|
390 |
+
"loss": 1.7355,
|
391 |
+
"step": 650
|
392 |
+
},
|
393 |
+
{
|
394 |
+
"epoch": 2.58,
|
395 |
+
"eval_loss": 2.2034003734588623,
|
396 |
+
"eval_runtime": 4.0162,
|
397 |
+
"eval_samples_per_second": 2.739,
|
398 |
+
"eval_steps_per_second": 2.739,
|
399 |
+
"step": 650
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 2.68,
|
403 |
+
"grad_norm": 1.660874843597412,
|
404 |
+
"learning_rate": 5.5812491165800675e-06,
|
405 |
+
"loss": 1.595,
|
406 |
+
"step": 675
|
407 |
+
},
|
408 |
+
{
|
409 |
+
"epoch": 2.68,
|
410 |
+
"eval_loss": 2.2044949531555176,
|
411 |
+
"eval_runtime": 4.0854,
|
412 |
+
"eval_samples_per_second": 2.693,
|
413 |
+
"eval_steps_per_second": 2.693,
|
414 |
+
"step": 675
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 2.78,
|
418 |
+
"grad_norm": 1.597719430923462,
|
419 |
+
"learning_rate": 2.58995448275795e-06,
|
420 |
+
"loss": 1.6264,
|
421 |
+
"step": 700
|
422 |
+
},
|
423 |
+
{
|
424 |
+
"epoch": 2.78,
|
425 |
+
"eval_loss": 2.203244924545288,
|
426 |
+
"eval_runtime": 4.0166,
|
427 |
+
"eval_samples_per_second": 2.739,
|
428 |
+
"eval_steps_per_second": 2.739,
|
429 |
+
"step": 700
|
430 |
+
}
|
431 |
+
],
|
432 |
+
"logging_steps": 25,
|
433 |
+
"max_steps": 753,
|
434 |
+
"num_input_tokens_seen": 0,
|
435 |
+
"num_train_epochs": 3,
|
436 |
+
"save_steps": 25,
|
437 |
+
"total_flos": 5007755466455040.0,
|
438 |
+
"train_batch_size": 1,
|
439 |
+
"trial_name": null,
|
440 |
+
"trial_params": null
|
441 |
+
}
|
checkpoint-700/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:788436dae15eaa59cb0aad969fe709cabdaa4997e955ddb605dac6d71d60cdac
|
3 |
+
size 5048
|
checkpoint-700/vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|