metadata
license: apache-2.0
base_model: google/byt5-small
tags:
- generated_from_trainer
model-index:
- name: filtered_annotated100k_byt5
results: []
filtered_annotated100k_byt5
This model is a fine-tuned version of google/byt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.0404
- eval_Val Accuracy: 0.5118
- eval_gen_len: 16.6927
- eval_runtime: 289.0028
- eval_samples_per_second: 33.232
- eval_steps_per_second: 1.042
- epoch: 3.0
- step: 3603
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: 0.0005
- train_batch_size: 64
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 200
Framework versions
- Transformers 4.37.2
- Pytorch 1.13.1+cu117
- Datasets 2.17.1
- Tokenizers 0.15.2