README.md

metadata

license: apache-2.0
tags:
  - generated_from_keras_callback
model-index:
  - name: CIS6930_DAAGR_T5_emo
    results: []

CIS6930_DAAGR_T5_emo

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

• Train Loss: 0.3698
• Train Accuracy: 0.9584
• Validation Loss: 0.4586
• Validation Accuracy: 0.9472
• Epoch: 14

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:

• optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.001, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
0.5130	0.9390	0.4789	0.9431	0
0.4570	0.9456	0.4682	0.9446	1
0.4434	0.9477	0.4624	0.9454	2
0.4334	0.9490	0.4594	0.9459	3
0.4250	0.9503	0.4570	0.9464	4
0.4180	0.9513	0.4556	0.9466	5
0.4114	0.9523	0.4545	0.9469	6
0.4052	0.9532	0.4537	0.9471	7
0.3997	0.9540	0.4541	0.9471	8
0.3943	0.9548	0.4533	0.9473	9
0.3891	0.9556	0.4538	0.9474	10
0.3838	0.9563	0.4549	0.9474	11
0.3791	0.9570	0.4558	0.9474	12
0.3744	0.9577	0.4573	0.9473	13
0.3698	0.9584	0.4586	0.9472	14

Framework versions

• Transformers 4.27.4
• TensorFlow 2.11.0
• Datasets 2.11.0
• Tokenizers 0.13.2