flan-t5-healthcare-chatbot – AI Model by reponseashimwe | AlphaNeural AI

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reponseashimwe/
flan-t5-healthcare-chatbot

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text2text-generation

generated_from_keras_callback

google/flan-t5-small

endpoints_compatible

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flan-t5-healthcare-chatbot

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

Train Loss: 0.8664
Validation Loss: 0.7938
Epoch: 16

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': 'AdamW', 'weight_decay': 0.01, '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': {'module': None, 'class_name': 'WarmupSchedule', 'config': {'warmup_steps': 3296, 'post_warmup_schedule': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 29664, 'end_learning_rate': 1e-07, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}}, 'registered_name': 'WarmupSchedule'}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
8.9853	1.5315	0
1.4743	1.1081	1
1.1752	0.9784	2
1.0691	0.9322	3
1.0183	0.8996	4
0.9827	0.8763	5
0.9572	0.8586	6
0.9377	0.8442	7
0.9222	0.8332	8
0.9099	0.8246	9
0.8994	0.8169	10
0.8907	0.8107	11
0.8840	0.8060	12
0.8781	0.8017	13
0.8731	0.7985	14
0.8692	0.7959	15
0.8664	0.7938	16

Framework versions

Transformers 4.57.0
TensorFlow 2.19.0
Datasets 4.0.0
Tokenizers 0.22.1