Training in progress, step 500, checkpoint
Browse files- checkpoint-500/README.md +204 -0
- checkpoint-500/adapter_config.json +31 -0
- checkpoint-500/adapter_model.safetensors +3 -0
- checkpoint-500/optimizer.pt +3 -0
- checkpoint-500/rng_state_0.pth +3 -0
- checkpoint-500/rng_state_1.pth +3 -0
- checkpoint-500/scheduler.pt +3 -0
- checkpoint-500/special_tokens_map.json +29 -0
- checkpoint-500/tokenizer.json +0 -0
- checkpoint-500/tokenizer.model +3 -0
- checkpoint-500/tokenizer_config.json +50 -0
- checkpoint-500/trainer_state.json +486 -0
- checkpoint-500/training_args.bin +3 -0
checkpoint-500/README.md
ADDED
@@ -0,0 +1,204 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: HuggingFaceH4/zephyr-7b-beta
|
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 |
+
|
201 |
+
|
202 |
+
### Framework versions
|
203 |
+
|
204 |
+
- PEFT 0.10.0
|
checkpoint-500/adapter_config.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "HuggingFaceH4/zephyr-7b-beta",
|
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 |
+
"o_proj",
|
24 |
+
"v_proj",
|
25 |
+
"k_proj",
|
26 |
+
"q_proj"
|
27 |
+
],
|
28 |
+
"task_type": "CAUSAL_LM",
|
29 |
+
"use_dora": false,
|
30 |
+
"use_rslora": false
|
31 |
+
}
|
checkpoint-500/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7b5255da8f350d25a6a3be54b46ff4d41494a110f9c434118ba48a81c654a532
|
3 |
+
size 54560368
|
checkpoint-500/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:367b66890bc31e6e5760395bebda2352a7522536f399cd118ec9e9cef619be3b
|
3 |
+
size 109267450
|
checkpoint-500/rng_state_0.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ce210eb9b40cd3fb20f04853762d7801d40ffa6d286995c5796f1822212ae3f0
|
3 |
+
size 14512
|
checkpoint-500/rng_state_1.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e213b5d8efffdbfeff77e59867f4ec63355feef1d77d63f4f84443e245315fb9
|
3 |
+
size 14512
|
checkpoint-500/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3f9383bbb245a0112ed68ac9db24f4a14c7d6d232df19cd6a20aa297ecea7bf0
|
3 |
+
size 1064
|
checkpoint-500/special_tokens_map.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<unk>",
|
4 |
+
"<s>",
|
5 |
+
"</s>"
|
6 |
+
],
|
7 |
+
"bos_token": {
|
8 |
+
"content": "<s>",
|
9 |
+
"lstrip": false,
|
10 |
+
"normalized": false,
|
11 |
+
"rstrip": false,
|
12 |
+
"single_word": false
|
13 |
+
},
|
14 |
+
"eos_token": {
|
15 |
+
"content": "</s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false
|
20 |
+
},
|
21 |
+
"pad_token": "<unk>",
|
22 |
+
"unk_token": {
|
23 |
+
"content": "<unk>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false
|
28 |
+
}
|
29 |
+
}
|
checkpoint-500/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-500/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
3 |
+
size 493443
|
checkpoint-500/tokenizer_config.json
ADDED
@@ -0,0 +1,50 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<unk>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"additional_special_tokens": [
|
31 |
+
"<unk>",
|
32 |
+
"<s>",
|
33 |
+
"</s>"
|
34 |
+
],
|
35 |
+
"bos_token": "<s>",
|
36 |
+
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
|
37 |
+
"clean_up_tokenization_spaces": false,
|
38 |
+
"eos_token": "</s>",
|
39 |
+
"legacy": true,
|
40 |
+
"max_lenght": 8192,
|
41 |
+
"model_max_length": 1000000000000000019884624838656,
|
42 |
+
"pad_token": "<unk>",
|
43 |
+
"padding": true,
|
44 |
+
"sp_model_kwargs": {},
|
45 |
+
"spaces_between_special_tokens": false,
|
46 |
+
"tokenizer_class": "LlamaTokenizer",
|
47 |
+
"truncation_side": "left",
|
48 |
+
"unk_token": "<unk>",
|
49 |
+
"use_default_system_prompt": true
|
50 |
+
}
|
checkpoint-500/trainer_state.json
ADDED
@@ -0,0 +1,486 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.014748962596058846,
|
3 |
+
"best_model_checkpoint": "./Zephyr/27-03-24-Weni-kto-test_WeniGPT Experiment using KTO trainer with no collator-2_max_steps-786_batch_16_2024-03-27_ppid_1885/checkpoint-300",
|
4 |
+
"epoch": 3.8095238095238093,
|
5 |
+
"eval_steps": 50,
|
6 |
+
"global_step": 500,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.15,
|
13 |
+
"grad_norm": 2.2224462032318115,
|
14 |
+
"kl": 0.054589949548244476,
|
15 |
+
"learning_rate": 0.0001666666666666667,
|
16 |
+
"logps/chosen": NaN,
|
17 |
+
"logps/rejected": NaN,
|
18 |
+
"loss": 704.2891,
|
19 |
+
"rewards/chosen": NaN,
|
20 |
+
"rewards/margins": NaN,
|
21 |
+
"rewards/rejected": NaN,
|
22 |
+
"step": 20
|
23 |
+
},
|
24 |
+
{
|
25 |
+
"epoch": 0.3,
|
26 |
+
"grad_norm": 2.9781014919281006,
|
27 |
+
"kl": 0.014553820714354515,
|
28 |
+
"learning_rate": 0.00019580052493438322,
|
29 |
+
"logps/chosen": NaN,
|
30 |
+
"logps/rejected": NaN,
|
31 |
+
"loss": 371.0873,
|
32 |
+
"rewards/chosen": NaN,
|
33 |
+
"rewards/margins": NaN,
|
34 |
+
"rewards/rejected": NaN,
|
35 |
+
"step": 40
|
36 |
+
},
|
37 |
+
{
|
38 |
+
"epoch": 0.38,
|
39 |
+
"eval_kl": 0.014955863356590271,
|
40 |
+
"eval_logps/chosen": -139.6813507080078,
|
41 |
+
"eval_logps/rejected": -288.11480712890625,
|
42 |
+
"eval_loss": 0.0440419502556324,
|
43 |
+
"eval_rewards/chosen": 4.680752754211426,
|
44 |
+
"eval_rewards/margins": 14.199661254882812,
|
45 |
+
"eval_rewards/rejected": -9.518909454345703,
|
46 |
+
"eval_runtime": 437.1874,
|
47 |
+
"eval_samples_per_second": 1.07,
|
48 |
+
"eval_steps_per_second": 0.268,
|
49 |
+
"step": 50
|
50 |
+
},
|
51 |
+
{
|
52 |
+
"epoch": 0.46,
|
53 |
+
"grad_norm": 0.7002557516098022,
|
54 |
+
"kl": 0.36391472816467285,
|
55 |
+
"learning_rate": 0.0001905511811023622,
|
56 |
+
"logps/chosen": NaN,
|
57 |
+
"logps/rejected": NaN,
|
58 |
+
"loss": 165.1605,
|
59 |
+
"rewards/chosen": NaN,
|
60 |
+
"rewards/margins": NaN,
|
61 |
+
"rewards/rejected": NaN,
|
62 |
+
"step": 60
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.61,
|
66 |
+
"grad_norm": 0.5644651651382446,
|
67 |
+
"kl": 0.01063810009509325,
|
68 |
+
"learning_rate": 0.00018556430446194227,
|
69 |
+
"logps/chosen": NaN,
|
70 |
+
"logps/rejected": NaN,
|
71 |
+
"loss": 89.197,
|
72 |
+
"rewards/chosen": NaN,
|
73 |
+
"rewards/margins": NaN,
|
74 |
+
"rewards/rejected": NaN,
|
75 |
+
"step": 80
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.76,
|
79 |
+
"grad_norm": 0.18941974639892578,
|
80 |
+
"kl": 0.0,
|
81 |
+
"learning_rate": 0.0001805774278215223,
|
82 |
+
"logps/chosen": NaN,
|
83 |
+
"logps/rejected": NaN,
|
84 |
+
"loss": 57.9834,
|
85 |
+
"rewards/chosen": NaN,
|
86 |
+
"rewards/margins": NaN,
|
87 |
+
"rewards/rejected": NaN,
|
88 |
+
"step": 100
|
89 |
+
},
|
90 |
+
{
|
91 |
+
"epoch": 0.76,
|
92 |
+
"eval_kl": 0.0,
|
93 |
+
"eval_logps/chosen": -135.0946807861328,
|
94 |
+
"eval_logps/rejected": -511.870361328125,
|
95 |
+
"eval_loss": 0.027495555579662323,
|
96 |
+
"eval_rewards/chosen": 5.139419078826904,
|
97 |
+
"eval_rewards/margins": 37.033878326416016,
|
98 |
+
"eval_rewards/rejected": -31.89446258544922,
|
99 |
+
"eval_runtime": 437.2677,
|
100 |
+
"eval_samples_per_second": 1.07,
|
101 |
+
"eval_steps_per_second": 0.268,
|
102 |
+
"step": 100
|
103 |
+
},
|
104 |
+
{
|
105 |
+
"epoch": 0.91,
|
106 |
+
"grad_norm": 1.2737089395523071,
|
107 |
+
"kl": 0.0,
|
108 |
+
"learning_rate": 0.00017532808398950132,
|
109 |
+
"logps/chosen": NaN,
|
110 |
+
"logps/rejected": NaN,
|
111 |
+
"loss": 1101.4947,
|
112 |
+
"rewards/chosen": NaN,
|
113 |
+
"rewards/margins": NaN,
|
114 |
+
"rewards/rejected": NaN,
|
115 |
+
"step": 120
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 1.07,
|
119 |
+
"grad_norm": 0.10652273148298264,
|
120 |
+
"kl": 0.0,
|
121 |
+
"learning_rate": 0.00017007874015748033,
|
122 |
+
"logps/chosen": NaN,
|
123 |
+
"logps/rejected": NaN,
|
124 |
+
"loss": 37.3685,
|
125 |
+
"rewards/chosen": NaN,
|
126 |
+
"rewards/margins": NaN,
|
127 |
+
"rewards/rejected": NaN,
|
128 |
+
"step": 140
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 1.14,
|
132 |
+
"eval_kl": 0.0,
|
133 |
+
"eval_logps/chosen": -133.9324951171875,
|
134 |
+
"eval_logps/rejected": -464.85992431640625,
|
135 |
+
"eval_loss": 0.019584182649850845,
|
136 |
+
"eval_rewards/chosen": 5.25563907623291,
|
137 |
+
"eval_rewards/margins": 32.449058532714844,
|
138 |
+
"eval_rewards/rejected": -27.19342041015625,
|
139 |
+
"eval_runtime": 437.0658,
|
140 |
+
"eval_samples_per_second": 1.071,
|
141 |
+
"eval_steps_per_second": 0.268,
|
142 |
+
"step": 150
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 1.22,
|
146 |
+
"grad_norm": 0.060089632868766785,
|
147 |
+
"kl": 0.21830137073993683,
|
148 |
+
"learning_rate": 0.00016482939632545934,
|
149 |
+
"logps/chosen": NaN,
|
150 |
+
"logps/rejected": NaN,
|
151 |
+
"loss": 91.1641,
|
152 |
+
"rewards/chosen": NaN,
|
153 |
+
"rewards/margins": NaN,
|
154 |
+
"rewards/rejected": NaN,
|
155 |
+
"step": 160
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 1.37,
|
159 |
+
"grad_norm": 0.08910108357667923,
|
160 |
+
"kl": 0.03056584671139717,
|
161 |
+
"learning_rate": 0.00015958005249343832,
|
162 |
+
"logps/chosen": NaN,
|
163 |
+
"logps/rejected": NaN,
|
164 |
+
"loss": 8.2078,
|
165 |
+
"rewards/chosen": NaN,
|
166 |
+
"rewards/margins": NaN,
|
167 |
+
"rewards/rejected": NaN,
|
168 |
+
"step": 180
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 1.52,
|
172 |
+
"grad_norm": 0.025327660143375397,
|
173 |
+
"kl": 0.0,
|
174 |
+
"learning_rate": 0.00015433070866141733,
|
175 |
+
"logps/chosen": NaN,
|
176 |
+
"logps/rejected": NaN,
|
177 |
+
"loss": 3.6561,
|
178 |
+
"rewards/chosen": NaN,
|
179 |
+
"rewards/margins": NaN,
|
180 |
+
"rewards/rejected": NaN,
|
181 |
+
"step": 200
|
182 |
+
},
|
183 |
+
{
|
184 |
+
"epoch": 1.52,
|
185 |
+
"eval_kl": 0.0,
|
186 |
+
"eval_logps/chosen": -132.1833038330078,
|
187 |
+
"eval_logps/rejected": -419.2353820800781,
|
188 |
+
"eval_loss": 0.016207611188292503,
|
189 |
+
"eval_rewards/chosen": 5.430557727813721,
|
190 |
+
"eval_rewards/margins": 28.061521530151367,
|
191 |
+
"eval_rewards/rejected": -22.630962371826172,
|
192 |
+
"eval_runtime": 437.1734,
|
193 |
+
"eval_samples_per_second": 1.071,
|
194 |
+
"eval_steps_per_second": 0.268,
|
195 |
+
"step": 200
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 1.68,
|
199 |
+
"grad_norm": 0.04120240360498428,
|
200 |
+
"kl": 0.04972388595342636,
|
201 |
+
"learning_rate": 0.00014908136482939634,
|
202 |
+
"logps/chosen": NaN,
|
203 |
+
"logps/rejected": NaN,
|
204 |
+
"loss": 21.787,
|
205 |
+
"rewards/chosen": NaN,
|
206 |
+
"rewards/margins": NaN,
|
207 |
+
"rewards/rejected": NaN,
|
208 |
+
"step": 220
|
209 |
+
},
|
210 |
+
{
|
211 |
+
"epoch": 1.83,
|
212 |
+
"grad_norm": 0.043324064463377,
|
213 |
+
"kl": 0.09086960554122925,
|
214 |
+
"learning_rate": 0.00014383202099737535,
|
215 |
+
"logps/chosen": NaN,
|
216 |
+
"logps/rejected": NaN,
|
217 |
+
"loss": 59.5367,
|
218 |
+
"rewards/chosen": NaN,
|
219 |
+
"rewards/margins": NaN,
|
220 |
+
"rewards/rejected": NaN,
|
221 |
+
"step": 240
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 1.9,
|
225 |
+
"eval_kl": 0.0,
|
226 |
+
"eval_logps/chosen": -129.1339111328125,
|
227 |
+
"eval_logps/rejected": -504.5447998046875,
|
228 |
+
"eval_loss": 0.01432154793292284,
|
229 |
+
"eval_rewards/chosen": 5.7354960441589355,
|
230 |
+
"eval_rewards/margins": 36.89740753173828,
|
231 |
+
"eval_rewards/rejected": -31.161909103393555,
|
232 |
+
"eval_runtime": 437.5542,
|
233 |
+
"eval_samples_per_second": 1.07,
|
234 |
+
"eval_steps_per_second": 0.267,
|
235 |
+
"step": 250
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 1.98,
|
239 |
+
"grad_norm": 0.028953969478607178,
|
240 |
+
"kl": 0.0,
|
241 |
+
"learning_rate": 0.00013858267716535433,
|
242 |
+
"logps/chosen": NaN,
|
243 |
+
"logps/rejected": NaN,
|
244 |
+
"loss": 5.7556,
|
245 |
+
"rewards/chosen": NaN,
|
246 |
+
"rewards/margins": NaN,
|
247 |
+
"rewards/rejected": NaN,
|
248 |
+
"step": 260
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 2.13,
|
252 |
+
"grad_norm": 0.022753821685910225,
|
253 |
+
"kl": 0.18936340510845184,
|
254 |
+
"learning_rate": 0.00013333333333333334,
|
255 |
+
"logps/chosen": NaN,
|
256 |
+
"logps/rejected": NaN,
|
257 |
+
"loss": 4.7774,
|
258 |
+
"rewards/chosen": NaN,
|
259 |
+
"rewards/margins": NaN,
|
260 |
+
"rewards/rejected": NaN,
|
261 |
+
"step": 280
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 2.29,
|
265 |
+
"grad_norm": 0.038736581802368164,
|
266 |
+
"kl": 0.0,
|
267 |
+
"learning_rate": 0.00012808398950131235,
|
268 |
+
"logps/chosen": NaN,
|
269 |
+
"logps/rejected": NaN,
|
270 |
+
"loss": 13.1891,
|
271 |
+
"rewards/chosen": NaN,
|
272 |
+
"rewards/margins": NaN,
|
273 |
+
"rewards/rejected": NaN,
|
274 |
+
"step": 300
|
275 |
+
},
|
276 |
+
{
|
277 |
+
"epoch": 2.29,
|
278 |
+
"eval_kl": 0.0,
|
279 |
+
"eval_logps/chosen": -130.3461151123047,
|
280 |
+
"eval_logps/rejected": -503.4655456542969,
|
281 |
+
"eval_loss": 0.014748962596058846,
|
282 |
+
"eval_rewards/chosen": 5.614275932312012,
|
283 |
+
"eval_rewards/margins": 36.66826248168945,
|
284 |
+
"eval_rewards/rejected": -31.05398178100586,
|
285 |
+
"eval_runtime": 437.6283,
|
286 |
+
"eval_samples_per_second": 1.069,
|
287 |
+
"eval_steps_per_second": 0.267,
|
288 |
+
"step": 300
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 2.44,
|
292 |
+
"grad_norm": 0.015456304885447025,
|
293 |
+
"kl": 0.016447115689516068,
|
294 |
+
"learning_rate": 0.00012283464566929136,
|
295 |
+
"logps/chosen": NaN,
|
296 |
+
"logps/rejected": NaN,
|
297 |
+
"loss": 2.946,
|
298 |
+
"rewards/chosen": NaN,
|
299 |
+
"rewards/margins": NaN,
|
300 |
+
"rewards/rejected": NaN,
|
301 |
+
"step": 320
|
302 |
+
},
|
303 |
+
{
|
304 |
+
"epoch": 2.59,
|
305 |
+
"grad_norm": 0.03844680264592171,
|
306 |
+
"kl": 0.0,
|
307 |
+
"learning_rate": 0.00011758530183727034,
|
308 |
+
"logps/chosen": NaN,
|
309 |
+
"logps/rejected": NaN,
|
310 |
+
"loss": 3.8532,
|
311 |
+
"rewards/chosen": NaN,
|
312 |
+
"rewards/margins": NaN,
|
313 |
+
"rewards/rejected": NaN,
|
314 |
+
"step": 340
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 2.67,
|
318 |
+
"eval_kl": 0.0,
|
319 |
+
"eval_logps/chosen": -127.6288833618164,
|
320 |
+
"eval_logps/rejected": -457.08013916015625,
|
321 |
+
"eval_loss": 0.013063323684036732,
|
322 |
+
"eval_rewards/chosen": 5.886001110076904,
|
323 |
+
"eval_rewards/margins": 32.30144119262695,
|
324 |
+
"eval_rewards/rejected": -26.415441513061523,
|
325 |
+
"eval_runtime": 437.2,
|
326 |
+
"eval_samples_per_second": 1.07,
|
327 |
+
"eval_steps_per_second": 0.268,
|
328 |
+
"step": 350
|
329 |
+
},
|
330 |
+
{
|
331 |
+
"epoch": 2.74,
|
332 |
+
"grad_norm": 0.013407759368419647,
|
333 |
+
"kl": 0.0,
|
334 |
+
"learning_rate": 0.00011233595800524934,
|
335 |
+
"logps/chosen": NaN,
|
336 |
+
"logps/rejected": NaN,
|
337 |
+
"loss": 14.6044,
|
338 |
+
"rewards/chosen": NaN,
|
339 |
+
"rewards/margins": NaN,
|
340 |
+
"rewards/rejected": NaN,
|
341 |
+
"step": 360
|
342 |
+
},
|
343 |
+
{
|
344 |
+
"epoch": 2.9,
|
345 |
+
"grad_norm": 0.1375456601381302,
|
346 |
+
"kl": 0.042511165142059326,
|
347 |
+
"learning_rate": 0.00010708661417322836,
|
348 |
+
"logps/chosen": NaN,
|
349 |
+
"logps/rejected": NaN,
|
350 |
+
"loss": 20.8824,
|
351 |
+
"rewards/chosen": NaN,
|
352 |
+
"rewards/margins": NaN,
|
353 |
+
"rewards/rejected": NaN,
|
354 |
+
"step": 380
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 3.05,
|
358 |
+
"grad_norm": 0.012805495411157608,
|
359 |
+
"kl": 0.0,
|
360 |
+
"learning_rate": 0.00010183727034120735,
|
361 |
+
"logps/chosen": NaN,
|
362 |
+
"logps/rejected": NaN,
|
363 |
+
"loss": 3.7678,
|
364 |
+
"rewards/chosen": NaN,
|
365 |
+
"rewards/margins": NaN,
|
366 |
+
"rewards/rejected": NaN,
|
367 |
+
"step": 400
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 3.05,
|
371 |
+
"eval_kl": 0.0,
|
372 |
+
"eval_logps/chosen": -127.17108917236328,
|
373 |
+
"eval_logps/rejected": -460.4493408203125,
|
374 |
+
"eval_loss": 0.016150476410984993,
|
375 |
+
"eval_rewards/chosen": 5.931778430938721,
|
376 |
+
"eval_rewards/margins": 32.684139251708984,
|
377 |
+
"eval_rewards/rejected": -26.75235939025879,
|
378 |
+
"eval_runtime": 437.1823,
|
379 |
+
"eval_samples_per_second": 1.07,
|
380 |
+
"eval_steps_per_second": 0.268,
|
381 |
+
"step": 400
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 3.2,
|
385 |
+
"grad_norm": 0.017726995050907135,
|
386 |
+
"kl": 0.2870129942893982,
|
387 |
+
"learning_rate": 9.658792650918635e-05,
|
388 |
+
"logps/chosen": NaN,
|
389 |
+
"logps/rejected": NaN,
|
390 |
+
"loss": 1.685,
|
391 |
+
"rewards/chosen": NaN,
|
392 |
+
"rewards/margins": NaN,
|
393 |
+
"rewards/rejected": NaN,
|
394 |
+
"step": 420
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 3.35,
|
398 |
+
"grad_norm": 0.007917443290352821,
|
399 |
+
"kl": 0.0,
|
400 |
+
"learning_rate": 9.133858267716536e-05,
|
401 |
+
"logps/chosen": NaN,
|
402 |
+
"logps/rejected": NaN,
|
403 |
+
"loss": 49.3456,
|
404 |
+
"rewards/chosen": NaN,
|
405 |
+
"rewards/margins": NaN,
|
406 |
+
"rewards/rejected": NaN,
|
407 |
+
"step": 440
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"epoch": 3.43,
|
411 |
+
"eval_kl": 0.0,
|
412 |
+
"eval_logps/chosen": -127.23651123046875,
|
413 |
+
"eval_logps/rejected": -479.95904541015625,
|
414 |
+
"eval_loss": 0.016735197976231575,
|
415 |
+
"eval_rewards/chosen": 5.925236225128174,
|
416 |
+
"eval_rewards/margins": 34.628562927246094,
|
417 |
+
"eval_rewards/rejected": -28.703327178955078,
|
418 |
+
"eval_runtime": 437.235,
|
419 |
+
"eval_samples_per_second": 1.07,
|
420 |
+
"eval_steps_per_second": 0.268,
|
421 |
+
"step": 450
|
422 |
+
},
|
423 |
+
{
|
424 |
+
"epoch": 3.5,
|
425 |
+
"grad_norm": 0.016776828095316887,
|
426 |
+
"kl": 0.0,
|
427 |
+
"learning_rate": 8.608923884514435e-05,
|
428 |
+
"logps/chosen": NaN,
|
429 |
+
"logps/rejected": NaN,
|
430 |
+
"loss": 6.9542,
|
431 |
+
"rewards/chosen": NaN,
|
432 |
+
"rewards/margins": NaN,
|
433 |
+
"rewards/rejected": NaN,
|
434 |
+
"step": 460
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 3.66,
|
438 |
+
"grad_norm": 0.009395829401910305,
|
439 |
+
"kl": 0.0,
|
440 |
+
"learning_rate": 8.083989501312336e-05,
|
441 |
+
"logps/chosen": NaN,
|
442 |
+
"logps/rejected": NaN,
|
443 |
+
"loss": 25.7168,
|
444 |
+
"rewards/chosen": NaN,
|
445 |
+
"rewards/margins": NaN,
|
446 |
+
"rewards/rejected": NaN,
|
447 |
+
"step": 480
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 3.81,
|
451 |
+
"grad_norm": 0.008246039040386677,
|
452 |
+
"kl": 0.028682123869657516,
|
453 |
+
"learning_rate": 7.559055118110236e-05,
|
454 |
+
"logps/chosen": NaN,
|
455 |
+
"logps/rejected": NaN,
|
456 |
+
"loss": 12.2886,
|
457 |
+
"rewards/chosen": NaN,
|
458 |
+
"rewards/margins": NaN,
|
459 |
+
"rewards/rejected": NaN,
|
460 |
+
"step": 500
|
461 |
+
},
|
462 |
+
{
|
463 |
+
"epoch": 3.81,
|
464 |
+
"eval_kl": 0.0,
|
465 |
+
"eval_logps/chosen": -126.48030090332031,
|
466 |
+
"eval_logps/rejected": -487.4185485839844,
|
467 |
+
"eval_loss": 0.01638978347182274,
|
468 |
+
"eval_rewards/chosen": 6.000857830047607,
|
469 |
+
"eval_rewards/margins": 35.45014190673828,
|
470 |
+
"eval_rewards/rejected": -29.44928550720215,
|
471 |
+
"eval_runtime": 437.6004,
|
472 |
+
"eval_samples_per_second": 1.069,
|
473 |
+
"eval_steps_per_second": 0.267,
|
474 |
+
"step": 500
|
475 |
+
}
|
476 |
+
],
|
477 |
+
"logging_steps": 20,
|
478 |
+
"max_steps": 786,
|
479 |
+
"num_input_tokens_seen": 0,
|
480 |
+
"num_train_epochs": 6,
|
481 |
+
"save_steps": 100,
|
482 |
+
"total_flos": 0.0,
|
483 |
+
"train_batch_size": 2,
|
484 |
+
"trial_name": null,
|
485 |
+
"trial_params": null
|
486 |
+
}
|
checkpoint-500/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c04380dac1b289b8afea7297ea9ea9e1ac98da4787c8cec5f2868e7236a8fefb
|
3 |
+
size 5560
|