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IE_M2_350steps_1e8rate_01beta_cSFTDPO
tsavage68/IE_M2_350steps_1e8rate_01beta_cSFTDPO
IE_M2_350steps_1e8rate_01beta_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
- Sep 23, 2024
- Updated
- Sep 23, 2024
- SHA
- 3b2fc30b
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Base models
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. -->
IE_M2_350steps_1e8rate_01beta_cSFTDPO
This model is a fine-tuned version of tsavage68/IE_M2_1000steps_1e7rate_SFT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6859
- Rewards/chosen: -0.0025
- Rewards/rejected: -0.0173
- Rewards/accuracies: 0.3900
- Rewards/margins: 0.0148
- Logps/rejected: -41.1945
- Logps/chosen: -42.2302
- Logits/rejected: -2.9157
- Logits/chosen: -2.8544
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: 350
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6934 | 0.4 | 50 | 0.6935 | 0.0012 | 0.0018 | 0.2150 | -0.0007 | -41.0035 | -42.1940 | -2.9159 | -2.8546 |
| 0.6929 | 0.8 | 100 | 0.6915 | -0.0004 | -0.0037 | 0.2700 | 0.0033 | -41.0589 | -42.2096 | -2.9161 | -2.8547 |
| 0.6886 | 1.2 | 150 | 0.6887 | -0.0011 | -0.0101 | 0.3450 | 0.0091 | -41.1233 | -42.2161 | -2.9157 | -2.8544 |
| 0.6887 | 1.6 | 200 | 0.6863 | 0.0011 | -0.0128 | 0.3800 | 0.0139 | -41.1500 | -42.1946 | -2.9154 | -2.8540 |
| 0.6886 | 2.0 | 250 | 0.6863 | -0.0008 | -0.0146 | 0.3850 | 0.0138 | -41.1676 | -42.2131 | -2.9157 | -2.8544 |
| 0.6893 | 2.4 | 300 | 0.6857 | -0.0018 | -0.0170 | 0.3900 | 0.0152 | -41.1921 | -42.2240 | -2.9157 | -2.8544 |
| 0.6851 | 2.8 | 350 | 0.6859 | -0.0025 | -0.0173 | 0.3900 | 0.0148 | -41.1945 | -42.2302 | -2.9157 | -2.8544 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.0.0+cu117
- Datasets 3.0.0
- Tokenizers 0.19.1
- Task
- Text Generation
- Library
- transformers
- Type
- mistral
- License
- apache-2.0
- Created
- Sep 23, 2024
- Updated
- Sep 23, 2024