---
tags:
- generated_from_trainer
model-index:
- name: seq2seq_huggingface_mix_results
  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. -->

# seq2seq_huggingface_mix_results

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 7.9457

## 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: 5e-05
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 48
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 10.7021       | 0.0480 | 10   | 10.6458         |
| 10.5611       | 0.0959 | 20   | 10.4143         |
| 10.2935       | 0.1439 | 30   | 10.0786         |
| 9.9673        | 0.1918 | 40   | 9.7462          |
| 9.6468        | 0.2398 | 50   | 9.4724          |
| 9.4303        | 0.2878 | 60   | 9.2583          |
| 9.2452        | 0.3357 | 70   | 9.1136          |
| 9.1357        | 0.3837 | 80   | 9.0100          |
| 9.0307        | 0.4317 | 90   | 8.9296          |
| 8.9363        | 0.4796 | 100  | 8.8591          |
| 8.8781        | 0.5276 | 110  | 8.7821          |
| 8.7907        | 0.5755 | 120  | 8.7088          |
| 8.7214        | 0.6235 | 130  | 8.6329          |
| 8.6375        | 0.6715 | 140  | 8.5511          |
| 8.5439        | 0.7194 | 150  | 8.4701          |
| 8.4715        | 0.7674 | 160  | 8.3835          |
| 8.389         | 0.8153 | 170  | 8.2962          |
| 8.2787        | 0.8633 | 180  | 8.2072          |
| 8.1826        | 0.9113 | 190  | 8.1146          |
| 8.0848        | 0.9592 | 200  | 8.0225          |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1