---
library_name: transformers
license: apache-2.0
base_model: google/t5-small-lm-adapt
tags:
- generated_from_trainer
model-index:
- name: test1
  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. -->

# test1

This model is a fine-tuned version of [google/t5-small-lm-adapt](https://huggingface.co/google/t5-small-lm-adapt) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5772
- Exact Match Acc: 0.0118

## 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: 0.005
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 3.0
- label_smoothing_factor: 0.1

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Exact Match Acc |
|:-------------:|:------:|:----:|:---------------:|:---------------:|
| 1.6493        | 0.4348 | 50   | 1.6531          | 0.0011          |
| 1.6842        | 0.8696 | 100  | 1.6311          | 0.0022          |
| 1.6140        | 1.3043 | 150  | 1.6110          | 0.0054          |
| 1.6240        | 1.7391 | 200  | 1.5943          | 0.0097          |
| 1.5772        | 2.1739 | 250  | 1.5823          | 0.0108          |
| 1.5760        | 2.6087 | 300  | 1.5772          | 0.0118          |


### Framework versions

- Transformers 5.2.0
- Pytorch 2.10.0+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2