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---
base_model: sanchit-gandhi/Mistral-7B-v0.1-6-layer
tags:
- trl
- sft
- alignment-handbook
- generated_from_trainer
datasets:
- generator
model-index:
- name: sanchit-gandhi/Mistral-7B-v0.1-6-layer
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. -->
# sanchit-gandhi/Mistral-7B-v0.1-6-layer
This model is a fine-tuned version of [sanchit-gandhi/Mistral-7B-v0.1-6-layer](https://huggingface.co/sanchit-gandhi/Mistral-7B-v0.1-6-layer) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0042
## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 256
- total_eval_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 20000
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 1.135 | 1.2361 | 5000 | 1.0484 |
| 0.9717 | 2.4722 | 10000 | 1.0058 |
| 0.8643 | 3.7083 | 15000 | 0.9966 |
| 0.8191 | 4.9444 | 20000 | 1.0042 |
### Framework versions
- Transformers 4.40.1
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
|