Downloads · 30 days
8
13% of all-time downloads
mistralit2_250_STEPS_1e7_rate_05_beta_DPO
tsavage68/mistralit2_250_STEPS_1e7_rate_05_beta_DPO
mistralit2_250_STEPS_1e7_rate_05_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. --
All-time downloads
60
Public
Parameters
7.2B
14.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors29 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- mistral
- Access
- Public
- Created
- Mar 11, 2024
- Updated
- Mar 11, 2024
- SHA
- a76efd60
Try a prompt
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. -->
mistralit2_250_STEPS_1e7_rate_05_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: 0.6043
- Rewards/chosen: -1.1749
- Rewards/rejected: -1.6856
- Rewards/accuracies: 0.6330
- Rewards/margins: 0.5107
- Logps/rejected: -31.9435
- Logps/chosen: -25.7355
- Logits/rejected: -2.8536
- Logits/chosen: -2.8539
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6684 | 0.1 | 50 | 0.6660 | -0.2264 | -0.2957 | 0.5934 | 0.0693 | -29.1637 | -23.8386 | -2.8636 | -2.8639 |
| 0.5945 | 0.2 | 100 | 0.6396 | -1.5064 | -1.9635 | 0.6044 | 0.4572 | -32.4994 | -26.3985 | -2.8444 | -2.8447 |
| 0.4857 | 0.29 | 150 | 0.6440 | -2.0003 | -2.6364 | 0.6198 | 0.6362 | -33.8453 | -27.3863 | -2.8460 | -2.8463 |
| 0.5631 | 0.39 | 200 | 0.6018 | -1.1675 | -1.6769 | 0.6330 | 0.5093 | -31.9261 | -25.7209 | -2.8536 | -2.8539 |
| 0.6109 | 0.49 | 250 | 0.6043 | -1.1749 | -1.6856 | 0.6330 | 0.5107 | -31.9435 | -25.7355 | -2.8536 | -2.8539 |
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 11, 2024
- Updated
- Mar 11, 2024