---
license: other
base_model: TheBloke/Tess-M-v1.3-GPTQ
tags:
- generated_from_trainer
model-index:
- name: Tess34-fans
  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. -->

# Tess34-fans

This model is a fine-tuned version of [TheBloke/Tess-M-v1.3-GPTQ](https://huggingface.co/TheBloke/Tess-M-v1.3-GPTQ) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7360

## 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: 0.0004
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2094        | 0.02  | 50   | 0.9702          |
| 0.9633        | 0.04  | 100  | 0.9093          |
| 0.91          | 0.06  | 150  | 0.8754          |
| 0.8928        | 0.08  | 200  | 0.8588          |
| 0.8768        | 0.1   | 250  | 0.8428          |
| 0.8344        | 0.12  | 300  | 0.8235          |
| 0.8345        | 0.14  | 350  | 0.8160          |
| 0.812         | 0.16  | 400  | 0.8125          |
| 0.8605        | 0.18  | 450  | 0.8079          |
| 0.8263        | 0.21  | 500  | 0.7884          |
| 0.7863        | 0.23  | 550  | 0.7849          |
| 0.7751        | 0.25  | 600  | 0.7798          |
| 0.7976        | 0.27  | 650  | 0.7695          |
| 0.7584        | 0.29  | 700  | 0.7631          |
| 0.8019        | 0.31  | 750  | 0.7552          |
| 0.7626        | 0.33  | 800  | 0.7501          |
| 0.7566        | 0.35  | 850  | 0.7472          |
| 0.7261        | 0.37  | 900  | 0.7424          |
| 0.7613        | 0.39  | 950  | 0.7379          |
| 0.7274        | 0.41  | 1000 | 0.7360          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0