metadata
library_name: peft
tags:
- generated_from_trainer
base_model: ybelkada/flan-t5-xl-sharded-bf16
model-index:
- name: flan-t5-xl-sharded-bf16-absa-rest
results: []
flan-t5-xl-sharded-bf16-absa-rest
This model is a fine-tuned version of ybelkada/flan-t5-xl-sharded-bf16 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2486
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: 5e-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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.693 | 0.52 | 100 | 1.2103 |
| 0.8793 | 1.05 | 200 | 0.3548 |
| 0.499 | 1.57 | 300 | 0.2831 |
| 0.4324 | 2.09 | 400 | 0.2611 |
| 0.3993 | 2.62 | 500 | 0.2486 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.1
- Pytorch 2.0.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2