metadata

license: apache-2.0
base_model: google/mt5-small
tags:
  - generated_from_trainer
model-index:
  - name: mt5-small-finetuned-mt5-small-poem7b
    results: []

mt5-small-finetuned-mt5-small-poem7b

This model is a fine-tuned version of google/mt5-small on an unknown dataset.

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: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	254	nan

Framework versions

Transformers 4.41.0
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1