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---
base_model: sanchit-gandhi/Mistral-7B-v0.1-6-layer
tags:
- alignment-handbook
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrachat_200k
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 HuggingFaceH4/ultrachat_200k dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1183
## 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: 0.0003
- train_batch_size: 64
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 512
- total_eval_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.8342 | 1.0 | 273 | 4.7379 |
| 3.3301 | 2.0 | 546 | 3.2846 |
| 2.4158 | 3.0 | 819 | 2.4134 |
| 2.1322 | 4.0 | 1092 | 2.1637 |
| 2.0369 | 5.0 | 1365 | 2.1183 |
### Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.14.6
- Tokenizers 0.15.0
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