---
library_name: transformers
license: other
base_model: clinno/eightwords-241112-mt
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: sft
  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. -->

# sft

This model is a fine-tuned version of [clinno/eightwords-241112-mt](https://huggingface.co/clinno/eightwords-241112-mt) on the identity and the eightwords-20241113-alapaca datasets.
It achieves the following results on the evaluation set:
- Loss: 3.0098

## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use 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: 64.0

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 0.2795        | 12.5196 | 1000 | 2.0127          |
| 0.0784        | 25.0391 | 2000 | 2.3600          |
| 0.0037        | 37.5587 | 3000 | 2.7559          |
| 0.0016        | 50.0782 | 4000 | 2.9700          |
| 0.0013        | 62.5978 | 5000 | 3.0162          |


### Framework versions

- Transformers 4.46.1
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3