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1#!/usr/bin/bash
2
3
4python ../run_glue.py \\n --model_name_or_path google/fnet-base \\n --task_name rte \\n --do_train \\n --do_eval \\n --max_seq_length 512 \\n --per_device_train_batch_size 16 \\n --learning_rate 2e-5 \\n --num_train_epochs 3 \\n --output_dir fnet-base-finetuned-rte \\n --push_to_hub \\n --hub_strategy all_checkpoints \\n --logging_strategy epoch \\n --save_strategy epoch \\n --evaluation_strategy epoch \\n```
5
6### Training hyperparameters
7
8The following hyperparameters were used during training:
9- learning_rate: 2e-05
10- train_batch_size: 16
11- eval_batch_size: 8
12- seed: 42
13- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
14- lr_scheduler_type: linear
15- num_epochs: 3.0
16
17### Training results
18
19| Training Loss | Epoch | Step | Validation Loss | Accuracy |
20|:-------------:|:-----:|:----:|:---------------:|:--------:|
21| 0.6829 | 1.0 | 156 | 0.6657 | 0.5704 |
22| 0.6174 | 2.0 | 312 | 0.6784 | 0.6101 |
23| 0.5141 | 3.0 | 468 | 0.6978 | 0.6282 |
24
25
26### Framework versions
27
28- Transformers 4.11.0.dev0
29- Pytorch 1.9.0
30- Datasets 1.12.1
31- Tokenizers 0.10.3