Harshatheeswar_-_gpt2-scratch-gguf – AI Model by RichardErkhov | AlphaNeural AI

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Harshatheeswar_-_gpt2-scratch-gguf

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gpt2-scratch - GGUF

Model creator: https://huggingface.co/Harshatheeswar/
Original model: https://huggingface.co/Harshatheeswar/gpt2-scratch/

Name	Quant method	Size
gpt2-scratch.Q2_K.gguf	Q2_K	0.08GB
gpt2-scratch.Q3_K_S.gguf	Q3_K_S	0.08GB
gpt2-scratch.Q3_K.gguf	Q3_K	0.09GB
gpt2-scratch.Q3_K_M.gguf	Q3_K_M	0.09GB
gpt2-scratch.Q3_K_L.gguf	Q3_K_L	0.1GB
gpt2-scratch.IQ4_XS.gguf	IQ4_XS	0.1GB
gpt2-scratch.Q4_0.gguf	Q4_0	0.1GB
gpt2-scratch.IQ4_NL.gguf	IQ4_NL	0.1GB
gpt2-scratch.Q4_K_S.gguf	Q4_K_S	0.1GB
gpt2-scratch.Q4_K.gguf	Q4_K	0.11GB
gpt2-scratch.Q4_K_M.gguf	Q4_K_M	0.11GB
gpt2-scratch.Q4_1.gguf	Q4_1	0.11GB
gpt2-scratch.Q5_0.gguf	Q5_0	0.11GB
gpt2-scratch.Q5_K_S.gguf	Q5_K_S	0.11GB
gpt2-scratch.Q5_K.gguf	Q5_K	0.12GB
gpt2-scratch.Q5_K_M.gguf	Q5_K_M	0.12GB
gpt2-scratch.Q5_1.gguf	Q5_1	0.12GB
gpt2-scratch.Q6_K.gguf	Q6_K	0.13GB
gpt2-scratch.Q8_0.gguf	Q8_0	0.17GB

Original model description:

library_name: transformers base_model: Harshatheeswar/gpt2-scratch tags:

generated_from_trainer model-index:
name: gpt2-scratch results: []

gpt2-scratch

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

Loss: 4.1380

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
4.2094	1.0	1390	4.1380

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1