---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- sacrebleu
model-index:
- name: final_tcc_model
  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. -->

# final_tcc_model

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7783
- Sacrebleu: 7.6467
- Gen Len: 17.9035

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Sacrebleu | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
| No log        | 1.0   | 275  | 0.8201          | 7.1607    | 17.8917 |
| 0.9564        | 2.0   | 550  | 0.7971          | 7.3848    | 17.9008 |
| 0.9564        | 3.0   | 825  | 0.7862          | 7.5097    | 17.909  |
| 0.8977        | 4.0   | 1100 | 0.7803          | 7.5882    | 17.9035 |
| 0.8977        | 5.0   | 1375 | 0.7783          | 7.6467    | 17.9035 |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cpu
- Datasets 2.13.0
- Tokenizers 0.13.3