|
---
|
|
license: apache-2.0
|
|
base_model: G-R-A-V-I-T-Y/flan-t5-base-ARv1
|
|
tags:
|
|
- generated_from_trainer
|
|
model-index:
|
|
- name: flan-t5-base-ARv1-ARv2
|
|
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. -->
|
|
|
|
# flan-t5-base-ARv1-ARv2
|
|
|
|
This model is a fine-tuned version of [G-R-A-V-I-T-Y/flan-t5-base-ARv1](https://huggingface.co/G-R-A-V-I-T-Y/flan-t5-base-ARv1) on the None dataset.
|
|
It achieves the following results on the evaluation set:
|
|
- Loss: 0.7981
|
|
- Exact Match: 10.0
|
|
- Gen Len: 4.0
|
|
|
|
## 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: 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: 20
|
|
|
|
### Training results
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Exact Match | Gen Len |
|
|
|:-------------:|:-----:|:----:|:---------------:|:-----------:|:-------:|
|
|
| No log | 1.0 | 7 | 0.7981 | 10.0 | 4.0 |
|
|
| No log | 2.0 | 14 | 0.7982 | 10.0 | 4.0 |
|
|
| No log | 3.0 | 21 | 0.7982 | 10.0 | 4.0 |
|
|
| No log | 4.0 | 28 | 0.7982 | 10.0 | 4.0 |
|
|
| No log | 5.0 | 35 | 0.7982 | 10.0 | 4.0 |
|
|
| No log | 6.0 | 42 | 0.7982 | 10.0 | 4.0 |
|
|
| No log | 7.0 | 49 | 0.7982 | 10.0 | 4.0 |
|
|
| No log | 8.0 | 56 | 0.7982 | 10.0 | 4.0 |
|
|
| No log | 9.0 | 63 | 0.7982 | 10.0 | 4.0 |
|
|
| No log | 10.0 | 70 | 0.7982 | 10.0 | 4.0 |
|
|
| No log | 11.0 | 77 | 0.7983 | 10.0 | 4.0 |
|
|
| No log | 12.0 | 84 | 0.7983 | 10.0 | 4.0 |
|
|
| No log | 13.0 | 91 | 0.7983 | 10.0 | 4.0 |
|
|
| No log | 14.0 | 98 | 0.7983 | 10.0 | 4.0 |
|
|
| No log | 15.0 | 105 | 0.7984 | 10.0 | 4.0 |
|
|
| No log | 16.0 | 112 | 0.7984 | 10.0 | 4.0 |
|
|
| No log | 17.0 | 119 | 0.7984 | 10.0 | 4.0 |
|
|
| No log | 18.0 | 126 | 0.7984 | 10.0 | 4.0 |
|
|
| No log | 19.0 | 133 | 0.7984 | 10.0 | 4.0 |
|
|
| No log | 20.0 | 140 | 0.7984 | 10.0 | 4.0 |
|
|
|
|
|
|
### Framework versions
|
|
|
|
- Transformers 4.41.0
|
|
- Pytorch 2.2.1
|
|
- Datasets 2.19.1
|
|
- Tokenizers 0.19.1
|
|
|