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t5-small-openassistant-chat-final – AI Model by KMH158 | AlphaNeural AI
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KMH158
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t5-small-openassistant-chat-final
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
KMH158/t5-small-openassistant-chat
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-small-openassistant-chat-final
This model is a fine-tuned version of
KMH158/t5-small-openassistant-chat
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 3.0506
eval_rougeL: 0.1203
eval_runtime: 92.915
eval_samples_per_second: 6.673
eval_steps_per_second: 3.336
epoch: 11.0
step: 836
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: 0.0001
train_batch_size: 40
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 320
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 20
mixed_precision_training: Native AMP
Framework versions
Transformers 4.55.3
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2
