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Hyponatremia_M2_400steps_1e8rate_03beta_DPO
tsavage68/Hyponatremia_M2_400steps_1e8rate_03beta_DPO
Hyponatremia_M2_400steps_1e8rate_03beta_DPO is a text generation model from tsavage68. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- mistral
- Access
- Public
- Created
- Jul 12, 2024
- Updated
- Jul 12, 2024
- SHA
- a32d4d88
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
Hyponatremia_M2_400steps_1e8rate_03beta_DPO
This model is a fine-tuned version of tsavage68/Hyponatremia_M2_150steps_1e6rate_SFT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6276
- Rewards/chosen: 0.0345
- Rewards/rejected: -0.1027
- Rewards/accuracies: 0.9600
- Rewards/margins: 0.1372
- Logps/rejected: -71.2238
- Logps/chosen: -36.6121
- Logits/rejected: -2.2455
- Logits/chosen: -2.2404
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-08
- 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: 400
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.691 | 0.2667 | 50 | 0.6959 | 0.0081 | 0.0125 | 0.4400 | -0.0044 | -70.8398 | -36.7002 | -2.2478 | -2.2427 |
| 0.684 | 0.5333 | 100 | 0.6850 | 0.0066 | -0.0109 | 0.6200 | 0.0175 | -70.9177 | -36.7050 | -2.2462 | -2.2410 |
| 0.6496 | 0.8 | 150 | 0.6433 | 0.0267 | -0.0772 | 0.9000 | 0.1039 | -71.1387 | -36.6380 | -2.2462 | -2.2412 |
| 0.6234 | 1.0667 | 200 | 0.6319 | 0.0320 | -0.0962 | 0.9700 | 0.1281 | -71.2020 | -36.6205 | -2.2465 | -2.2415 |
| 0.6262 | 1.3333 | 250 | 0.6336 | 0.0321 | -0.0927 | 0.9500 | 0.1248 | -71.1904 | -36.6199 | -2.2462 | -2.2411 |
| 0.6215 | 1.6 | 300 | 0.6288 | 0.0386 | -0.0965 | 0.9600 | 0.1352 | -71.2033 | -36.5983 | -2.2455 | -2.2404 |
| 0.6129 | 1.8667 | 350 | 0.6276 | 0.0345 | -0.1027 | 0.9600 | 0.1372 | -71.2238 | -36.6121 | -2.2455 | -2.2404 |
| 0.6301 | 2.1333 | 400 | 0.6276 | 0.0345 | -0.1027 | 0.9600 | 0.1372 | -71.2238 | -36.6121 | -2.2455 | -2.2404 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.0.0+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Generation
- Library
- transformers
- Type
- mistral
- License
- apache-2.0
- Created
- Jul 12, 2024
- Updated
- Jul 12, 2024