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UTI2_M2_125steps_1e7rate_03beta_CSFTDPO
tsavage68/UTI2_M2_125steps_1e7rate_03beta_CSFTDPO
UTI2_M2_125steps_1e7rate_03beta_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 7, 2024
- Updated
- Jun 7, 2024
- SHA
- a7acdc11
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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. -->
UTI2_M2_125steps_1e7rate_03beta_CSFTDPO
This model is a fine-tuned version of tsavage68/UTI_M2_1000steps_1e7rate_SFT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6514
- Rewards/chosen: -0.0649
- Rewards/rejected: -2.2854
- Rewards/accuracies: 0.1900
- Rewards/margins: 2.2205
- Logps/rejected: -16.9921
- Logps/chosen: -4.7589
- Logits/rejected: -2.6309
- Logits/chosen: -2.6305
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6972 | 0.3333 | 25 | 0.6778 | -0.0051 | -0.0396 | 0.1700 | 0.0345 | -9.5061 | -4.5596 | -2.7055 | -2.7048 |
| 0.6009 | 0.6667 | 50 | 0.5879 | 0.0346 | -0.3529 | 0.2100 | 0.3875 | -10.5502 | -4.4271 | -2.6953 | -2.6946 |
| 0.5832 | 1.0 | 75 | 0.5855 | -0.0014 | -1.5604 | 0.1900 | 1.5590 | -14.5753 | -4.5473 | -2.6506 | -2.6501 |
| 0.6192 | 1.3333 | 100 | 0.5646 | -0.0198 | -2.1667 | 0.1900 | 2.1469 | -16.5963 | -4.6084 | -2.6315 | -2.6312 |
| 0.5545 | 1.6667 | 125 | 0.6514 | -0.0649 | -2.2854 | 0.1900 | 2.2205 | -16.9921 | -4.7589 | -2.6309 | -2.6305 |
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 7, 2024
- Updated
- Jun 7, 2024