polynomial_2000_9e-4_32b_w0.08_cased – AI Model by danielkosyra | AlphaNeural AI

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danielkosyra/
polynomial_2000_9e-4_32b_w0.08_cased

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text-generation

generated_from_trainer

openai-community/gpt2

autotrain_compatible

text-generation-inference

endpoints_compatible

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polynomial_2000_9e-4_32b_w0.08_cased

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

Loss: 3.1523

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 512
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: polynomial
lr_scheduler_warmup_steps: 250
training_steps: 2000

Training results

Training Loss	Epoch	Step	Validation Loss
6.3307	1.9203	250	4.7026
3.8482	3.8406	500	3.4062
3.0517	5.7609	750	3.1624
2.7001	7.6812	1000	3.0874
2.4363	9.6015	1250	3.0764
2.2164	11.5218	1500	3.0995
2.0174	13.4422	1750	3.1357
1.855	15.3625	2000	3.1523

Framework versions

Transformers 4.40.1
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1