metadata
license: llama3
base_model: tsavage68/UTI_L3_1000steps_1e5rate_SFT
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: UTI_L3_175steps_1e7rate_03beta_CSFTDPO
results: []
UTI_L3_175steps_1e7rate_03beta_CSFTDPO
This model is a fine-tuned version of tsavage68/UTI_L3_1000steps_1e5rate_SFT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3086
- Rewards/chosen: 0.2238
- Rewards/rejected: -0.9996
- Rewards/accuracies: 0.9900
- Rewards/margins: 1.2234
- Logps/rejected: -66.5267
- Logps/chosen: -31.7329
- Logits/rejected: -1.3243
- Logits/chosen: -1.3093
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-07
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 175
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6945 | 0.3333 | 25 | 0.6909 | -0.0005 | -0.0056 | 0.4900 | 0.0051 | -63.2133 | -32.4808 | -1.3230 | -1.3079 |
| 0.6631 | 0.6667 | 50 | 0.6538 | 0.0144 | -0.0676 | 0.8500 | 0.0820 | -63.4201 | -32.4310 | -1.3232 | -1.3082 |
| 0.6008 | 1.0 | 75 | 0.5691 | 0.0482 | -0.2288 | 0.9600 | 0.2770 | -63.9573 | -32.3183 | -1.3233 | -1.3082 |
| 0.4499 | 1.3333 | 100 | 0.4399 | 0.1150 | -0.5411 | 0.9600 | 0.6561 | -64.9983 | -32.0957 | -1.3238 | -1.3088 |
| 0.3285 | 1.6667 | 125 | 0.3355 | 0.1971 | -0.8933 | 0.9900 | 1.0904 | -66.1723 | -31.8220 | -1.3241 | -1.3092 |
| 0.3053 | 2.0 | 150 | 0.3088 | 0.2246 | -1.0014 | 0.9900 | 1.2260 | -66.5327 | -31.7303 | -1.3242 | -1.3092 |
| 0.2456 | 2.3333 | 175 | 0.3086 | 0.2238 | -0.9996 | 0.9900 | 1.2234 | -66.5267 | -31.7329 | -1.3243 | -1.3093 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.0.0+cu117
- Datasets 2.19.2
- Tokenizers 0.19.1