shakespeare-ft – AI Model by ashkid | AlphaNeural AI

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ashkid/
shakespeare-ft

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TheBloke/Mistral-7B-Instruct-v0.2-GPTQ

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Cite

This model is trained from Talebi S. YouTube-Blog. 2024. https://github.com/ShawhinT/YouTube-Blog

shakespeare-ft

This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an Lambent/shakespeare_sonnets_backtranslated dataset. It achieves the following results on the evaluation set:

Loss: 0.7122

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: 0.0002
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 16
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.3058	0.97	15	1.2255
1.017	2.0	31	1.1220
0.9377	2.97	46	1.0527
0.7699	4.0	62	0.9921
0.728	4.97	77	0.9438
0.6098	6.0	93	0.8995
0.5781	6.97	108	0.8649
0.4823	8.0	124	0.8288
0.4598	8.97	139	0.8065
0.3866	10.0	155	0.7736
0.3693	10.97	170	0.7525
0.3165	12.0	186	0.7422
0.312	12.97	201	0.7276
0.2761	14.0	217	0.7160
0.2815	14.97	232	0.7121
0.2463	15.48	240	0.7122

Framework versions

PEFT 0.10.0
Transformers 4.39.3
Pytorch 2.1.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2