metadata
license: apache-2.0
base_model: google/canine-c
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: canine-rando-30-chars-5-epoch
results: []
canine-rando-30-chars-5-epoch
This model is a fine-tuned version of google/canine-c on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6015
- Accuracy: 0.7066
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: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 1.0 | 242 | 0.6975 | 0.5289 |
No log | 2.0 | 484 | 0.5939 | 0.6983 |
0.6861 | 3.0 | 726 | 0.5975 | 0.6942 |
0.6861 | 4.0 | 968 | 0.5858 | 0.7149 |
0.6213 | 5.0 | 1210 | 0.6015 | 0.7066 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.0.0+cu117
- Datasets 2.19.0
- Tokenizers 0.19.1