metadata

base_model: google-t5/t5-3b
library_name: peft
license: apache-2.0
metrics:
  - bleu
tags:
  - generated_from_trainer
model-index:
  - name: elvish-translator-quenya-t5-3b
    results: []

elvish-translator-quenya-t5-3b

This model is a fine-tuned version of google-t5/t5-3b on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 5.3158
Bleu: 0.216
Gen Len: 13.0139

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: 4
eval_batch_size: 4
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	Bleu	Gen Len
0.0445	1.0	144	5.3158	0.216	13.0139

Framework versions

PEFT 0.12.1.dev0
Transformers 4.45.0.dev0
Pytorch 2.4.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1