gpt2_small_expandedbabyLM_10M_43

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

• Loss: 3.1538

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: 256
• eval_batch_size: 256
• seed: 43
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 4000
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
6.5869	1.0	509	4.9705
4.8557	2.0	1018	4.1974
4.4907	3.0	1527	3.8590
4.1654	4.0	2036	3.6557
4.01	5.0	2545	3.5185
3.8464	6.0	3054	3.4184
3.7365	7.0	3563	3.3480
3.6331	8.0	4072	3.2874
3.5409	9.0	4581	3.2385
3.445	10.0	5090	3.2053
3.372	11.0	5599	3.1831
3.3028	12.0	6108	3.1708
3.2434	13.0	6617	3.1604
3.1834	14.0	7126	3.1546
3.1334	15.0	7635	3.1557
3.0732	16.0	8144	3.1538
3.0283	17.0	8653	3.1586

Framework versions

• Transformers 4.30.2
• Pytorch 2.11.0+cu130
• Datasets 4.1.1
• Tokenizers 0.13.3