fine_tuned_cb_t5

This model is a fine-tuned version of google-t5/t5-large on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.4011
• Accuracy: 0.3636
• F1: 0.3202

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
• training_steps: 400

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.7918	3.5714	50	1.4809	0.3182	0.1536
0.6056	7.1429	100	1.5671	0.3182	0.1536
0.496	10.7143	150	1.6020	0.3182	0.1536
0.3563	14.2857	200	1.8622	0.2727	0.1951
0.254	17.8571	250	2.1775	0.3182	0.2636
0.1867	21.4286	300	2.2009	0.3636	0.3202
0.1237	25.0	350	2.3443	0.3636	0.3202
0.1154	28.5714	400	2.4011	0.3636	0.3202

Framework versions

• Transformers 4.40.2
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1