reduce_lr_on_plateau_2000_9e-4_16b_w0.08 – AI Model by danielkosyra | AlphaNeural AI

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danielkosyra/
reduce_lr_on_plateau_2000_9e-4_16b_w0.08

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text-generation

generated_from_trainer

openai-community/gpt2

autotrain_compatible

text-generation-inference

endpoints_compatible

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reduce_lr_on_plateau_2000_9e-4_16b_w0.08

This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.9307

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: 0.0009
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: reduce_lr_on_plateau
lr_scheduler_warmup_steps: 250
training_steps: 2000

Training results

Training Loss	Epoch	Step	Validation Loss
6.5602	0.7930	250	5.7162
5.2027	1.5860	500	4.7050
4.1977	2.3791	750	3.6750
3.4544	3.1721	1000	3.3007
3.1343	3.9651	1250	3.1110
2.9024	4.7581	1500	3.0220
2.7565	5.5511	1750	2.9614
2.6418	6.3442	2000	2.9307

Framework versions

Transformers 4.40.1
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1