bach_sweeps_best_model – AI Model by juancopi81 | AlphaNeural AI

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juancopi81/
bach_sweeps_best_model

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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output

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5751
Accuracy: 0.0021

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: 0.0006058454513356471
train_batch_size: 16
eval_batch_size: 32
seed: 1
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.01
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.2205	1.25	315	0.8209	0.0010
0.813	2.51	630	0.7684	0.0009
0.7645	3.76	945	0.7393	0.0008
0.7249	5.02	1260	0.6980	0.0007
0.6832	6.27	1575	0.6646	0.0003
0.6426	7.53	1890	0.6371	0.0019
0.6034	8.78	2205	0.6041	0.0020
0.564	10.04	2520	0.5897	0.0018
0.5253	11.29	2835	0.5857	0.0018
0.4961	12.55	3150	0.5771	0.0017
0.4752	13.8	3465	0.5751	0.0021

Framework versions

Transformers 4.29.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3