model-t5 / README.md
Vrushali's picture
update model card README.md
b90f8b9
|
raw
history blame
1.7 kB
---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: model-t5
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# model-t5
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 38 | 0.0324 |
| No log | 2.0 | 76 | 0.0019 |
| No log | 3.0 | 114 | 0.0003 |
| No log | 4.0 | 152 | 0.0001 |
| No log | 5.0 | 190 | 0.0001 |
| No log | 6.0 | 228 | 0.0000 |
| No log | 7.0 | 266 | 0.0000 |
| No log | 8.0 | 304 | 0.0000 |
| No log | 9.0 | 342 | 0.0000 |
| No log | 10.0 | 380 | 0.0000 |
### Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3