69 lines
1.8 KiB
Markdown
69 lines
1.8 KiB
Markdown
---
|
|
library_name: transformers
|
|
base_model: mistralai/Mistral-7B-v0.3
|
|
tags:
|
|
- alignment-handbook
|
|
- generated_from_trainer
|
|
datasets:
|
|
- Anthropic/hh-rlhf
|
|
model-index:
|
|
- name: mistral-7b-base-sft-hh-helpful-4xh200-batch-64-20260418-015332
|
|
results: []
|
|
---
|
|
|
|
<!-- 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. -->
|
|
|
|
# mistral-7b-base-sft-hh-helpful-4xh200-batch-64-20260418-015332
|
|
|
|
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the Anthropic/hh-rlhf dataset.
|
|
It achieves the following results on the evaluation set:
|
|
- Loss: 0.7902
|
|
|
|
## 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: 2e-05
|
|
- train_batch_size: 8
|
|
- eval_batch_size: 8
|
|
- seed: 42
|
|
- distributed_type: multi-GPU
|
|
- num_devices: 4
|
|
- gradient_accumulation_steps: 2
|
|
- total_train_batch_size: 64
|
|
- total_eval_batch_size: 32
|
|
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
|
- lr_scheduler_type: cosine
|
|
- lr_scheduler_warmup_ratio: 0.1
|
|
- num_epochs: 1
|
|
|
|
### Training results
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss |
|
|
|:-------------:|:------:|:----:|:---------------:|
|
|
| 1.1916 | 0.3226 | 100 | 1.2298 |
|
|
| 0.9281 | 0.6452 | 200 | 0.9367 |
|
|
| 0.7683 | 0.9677 | 300 | 0.7902 |
|
|
|
|
|
|
### Framework versions
|
|
|
|
- Transformers 4.51.0
|
|
- Pytorch 2.3.1+cu121
|
|
- Datasets 2.21.0
|
|
- Tokenizers 0.21.4
|