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---
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
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