GPT2_fine_tuned_SP_GPT2_config_ESM_tokenizer_50kTrembl_30epochs – AI Model by Jacopo-gab | AlphaNeural AI

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GPT2_fine_tuned_SP_GPT2_config_ESM_tokenizer_50kTrembl_30epochs

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GPT2_fine_tuned_SP_GPT2_config_ESM_tokenizer_50kTrembl_30epochs

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

Loss: 1.3935

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: 0.001
train_batch_size: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 3981
num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss
3.2753	1.0	155	2.6914
2.651	2.0	311	2.6160
2.6217	3.0	466	2.5850
2.5527	4.0	622	2.4774
2.4127	5.0	777	2.1669
2.0779	6.0	933	1.8001
1.7924	7.0	1088	1.5899
1.5674	8.0	1244	1.4479
1.4213	9.0	1399	1.3477
1.2901	10.0	1555	1.2820
1.199	11.0	1710	1.2308
1.1071	12.0	1866	1.1902
1.0392	13.0	2021	1.1722
0.9683	14.0	2177	1.1432
0.9162	15.0	2332	1.1426
0.8584	16.0	2488	1.1227
0.8148	17.0	2643	1.1374
0.7638	18.0	2799	1.1213
0.7278	19.0	2954	1.1390
0.6844	20.0	3110	1.1592
0.6554	21.0	3265	1.1621
0.6214	22.0	3421	1.1772
0.5978	23.0	3576	1.1828
0.5706	24.0	3732	1.2075
0.5538	25.0	3887	1.2180
0.5329	26.0	4043	1.2230
0.4948	27.0	4198	1.2660
0.4087	28.0	4354	1.3091
0.3373	29.0	4509	1.3572
0.2973	29.9	4650	1.3935

Framework versions

Transformers 4.30.1
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3