git-base-pokemon

This model is a fine-tuned version of microsoft/git-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0348
• Wer Score: 2.7147

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: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Score
7.3601	4.17	50	4.5925	21.8560
2.4331	8.33	100	0.4978	15.2153
0.1504	12.5	150	0.0323	1.2062
0.0142	16.67	200	0.0288	3.0791
0.0039	20.83	250	0.0314	2.3619
0.0021	25.0	300	0.0327	2.6537
0.0016	29.17	350	0.0333	3.2049
0.0014	33.33	400	0.0344	2.9403
0.0012	37.5	450	0.0344	2.9624
0.0011	41.67	500	0.0345	2.8106
0.0011	45.83	550	0.0346	2.7393
0.0011	50.0	600	0.0348	2.7147

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.3
• Tokenizers 0.13.3