metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cosmos_qa
metrics:
- accuracy
model-index:
- name: t5_base_race_cosmos_qa
results: []
t5_base_race_cosmos_qa
This model is a fine-tuned version of t5-base on the cosmos_qa dataset. It achieves the following results on the evaluation set:
- Loss: 0.5038
- Accuracy: 0.7176
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: 0.0001
- train_batch_size: 2
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4408 | 1.0 | 3157 | 0.4825 | 0.6315 |
| 0.3166 | 2.0 | 6314 | 0.4108 | 0.7109 |
| 0.2 | 3.0 | 9471 | 0.5038 | 0.7176 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.9.1
- Datasets 1.12.1
- Tokenizers 0.10.3