File size: 1,802 Bytes
f88d150 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 |
---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: google-flan-t5-small-modified_v2
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. -->
# google-flan-t5-small-modified_v2
This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the squad dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3020
## 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: 16
- eval_batch_size: 16
- 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 | 250 | 3.7751 |
| 4.3074 | 2.0 | 500 | 2.1221 |
| 4.3074 | 3.0 | 750 | 1.7130 |
| 2.5366 | 4.0 | 1000 | 1.5271 |
| 2.5366 | 5.0 | 1250 | 1.4301 |
| 2.0483 | 6.0 | 1500 | 1.3643 |
| 2.0483 | 7.0 | 1750 | 1.3389 |
| 1.8774 | 8.0 | 2000 | 1.3123 |
| 1.8774 | 9.0 | 2250 | 1.3067 |
| 1.7724 | 10.0 | 2500 | 1.3020 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|