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
|