---
base_model: Samuael/amt5-base
tags:
- generated_from_trainer
model-index:
- name: amhmt5-base-finetuned-amt5
  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. -->

# amhmt5-base-finetuned-amt5

This model is a fine-tuned version of [Samuael/amt5-base](https://huggingface.co/Samuael/amt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.3710
- eval_rouge1: 0.0
- eval_rouge2: 0.0
- eval_rougeL: 0.0
- eval_rougeLsum: 0.0
- eval_gen_len: 18.5905
- eval_wer: 0.6072
- eval_cer: 0.5393
- eval_runtime: 4.0504
- eval_samples_per_second: 88.633
- eval_steps_per_second: 1.481
- epoch: 4.0
- step: 5672

## 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: 0.0002
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2