matthew-mcc_-_gpt2-finetuned-gguf – AI Model by RichardErkhov | AlphaNeural AI

You can deploy this model and start earning money today!

RichardErkhov/
matthew-mcc_-_gpt2-finetuned-gguf

like

0

endpoints_compatible

Views

No views yet

Quantization made by Richard Erkhov.

Request more models

gpt2-finetuned - GGUF

Model creator: https://huggingface.co/matthew-mcc/
Original model: https://huggingface.co/matthew-mcc/gpt2-finetuned/

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

Original model description:

license: mit base_model: gpt2 tags:

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

gpt2-finetuned

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1255

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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.1625	1.0	1000	0.1287
0.1028	2.0	2000	0.1257
0.1491	3.0	3000	0.1255

Framework versions

Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2