distilgpt2-CLM-DSM

ArmanAsq/distilgpt2-CLM-DSM

distilgpt2-CLM-DSM is a text generation model from ArmanAsq. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Generation
Library: transformers
License: mit
Model type: gpt2
Access: Public
Created: Jun 9, 2024
Updated: Jun 9, 2024
SHA: fdb9bc08

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Base models

Model card

From the Hugging Face model README

distilgpt2-CLM-DSM

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

Loss: 2.4049

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: 2e-05
train_batch_size: 8
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	91	2.6265
No log	2.0	182	2.5381
No log	3.0	273	2.4948
No log	4.0	364	2.4634
No log	5.0	455	2.4436
2.6065	6.0	546	2.4276
2.6065	7.0	637	2.4176
2.6065	8.0	728	2.4103
2.6065	9.0	819	2.4061
2.6065	10.0	910	2.4049

Framework versions

Transformers 4.41.2
Pytorch 2.2.1
Datasets 2.19.2
Tokenizers 0.19.1

Task: Text Generation
Library: transformers
Type: gpt2
License: mit
Created: Jun 9, 2024
Updated: Jun 9, 2024