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UTI_M2_125steps_1e7rate_05beta_CSFTDPO
tsavage68/UTI_M2_125steps_1e7rate_05beta_CSFTDPO
UTI_M2_125steps_1e7rate_05beta_CSFTDPO 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
- Jun 4, 2024
- Updated
- Jun 4, 2024
- SHA
- 4fd5cdc8
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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. -->
UTI_M2_125steps_1e7rate_05beta_CSFTDPO
This model is a fine-tuned version of tsavage68/UTI_M2_1000steps_1e5rate_SFT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0843
- Rewards/chosen: 1.3063
- Rewards/rejected: -3.4555
- Rewards/accuracies: 0.9000
- Rewards/margins: 4.7618
- Logps/rejected: -51.0770
- Logps/chosen: -17.6819
- Logits/rejected: -3.8211
- Logits/chosen: -3.7453
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: 125
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6901 | 0.3333 | 25 | 0.6692 | 0.0087 | -0.0409 | 0.7200 | 0.0495 | -44.2478 | -20.2772 | -3.8170 | -3.7449 |
| 0.5385 | 0.6667 | 50 | 0.4603 | 0.1249 | -0.5004 | 0.8900 | 0.6253 | -45.1669 | -20.0447 | -3.8171 | -3.7449 |
| 0.2906 | 1.0 | 75 | 0.2278 | 0.4625 | -1.4619 | 0.9000 | 1.9243 | -47.0899 | -19.3696 | -3.8191 | -3.7461 |
| 0.0574 | 1.3333 | 100 | 0.1164 | 0.8924 | -2.9525 | 0.9000 | 3.8450 | -50.0712 | -18.5097 | -3.8224 | -3.7481 |
| 0.08 | 1.6667 | 125 | 0.0843 | 1.3063 | -3.4555 | 0.9000 | 4.7618 | -51.0770 | -17.6819 | -3.8211 | -3.7453 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.0.0+cu117
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Text Generation
- Library
- transformers
- Type
- mistral
- License
- apache-2.0
- Created
- Jun 4, 2024
- Updated
- Jun 4, 2024