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mistralit2_250_STEPS_1e7_rate_03_beta_DPO
tsavage68/mistralit2_250_STEPS_1e7_rate_03_beta_DPO
mistralit2_250_STEPS_1e7_rate_03_beta_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
- Mar 10, 2024
- Updated
- Mar 10, 2024
- SHA
- 41ac9b2e
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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. -->
mistralit2_250_STEPS_1e7_rate_03_beta_DPO
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6110
- Rewards/chosen: -1.2720
- Rewards/rejected: -1.7206
- Rewards/accuracies: 0.6066
- Rewards/margins: 0.4486
- Logps/rejected: -34.3078
- Logps/chosen: -27.6260
- Logits/rejected: -2.8431
- Logits/chosen: -2.8435
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: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 250
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6777 | 0.1 | 50 | 0.6740 | -0.1496 | -0.1942 | 0.5824 | 0.0446 | -29.2197 | -23.8845 | -2.8632 | -2.8635 |
| 0.6077 | 0.2 | 100 | 0.6364 | -1.2703 | -1.6253 | 0.5846 | 0.3550 | -33.9902 | -27.6202 | -2.8384 | -2.8387 |
| 0.4954 | 0.29 | 150 | 0.6401 | -1.8310 | -2.3459 | 0.5890 | 0.5149 | -36.3920 | -29.4892 | -2.8362 | -2.8366 |
| 0.5666 | 0.39 | 200 | 0.6112 | -1.2659 | -1.7103 | 0.6132 | 0.4444 | -34.2733 | -27.6055 | -2.8434 | -2.8438 |
| 0.6352 | 0.49 | 250 | 0.6110 | -1.2720 | -1.7206 | 0.6066 | 0.4486 | -34.3078 | -27.6260 | -2.8431 | -2.8435 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.0.0+cu117
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Generation
- Library
- transformers
- Type
- mistral
- License
- apache-2.0
- Created
- Mar 10, 2024
- Updated
- Mar 10, 2024