Sarathbabu-Karunanithi_-_SQLgpt2-gguf – AI Model by RichardErkhov | AlphaNeural AI

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Sarathbabu-Karunanithi_-_SQLgpt2-gguf

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SQLgpt2 - GGUF

Model creator: https://huggingface.co/Sarathbabu-Karunanithi/
Original model: https://huggingface.co/Sarathbabu-Karunanithi/SQLgpt2/

Name	Quant method	Size
SQLgpt2.Q2_K.gguf	Q2_K	0.08GB
SQLgpt2.IQ3_XS.gguf	IQ3_XS	0.08GB
SQLgpt2.IQ3_S.gguf	IQ3_S	0.08GB
SQLgpt2.Q3_K_S.gguf	Q3_K_S	0.08GB
SQLgpt2.IQ3_M.gguf	IQ3_M	0.09GB
SQLgpt2.Q3_K.gguf	Q3_K	0.09GB
SQLgpt2.Q3_K_M.gguf	Q3_K_M	0.09GB
SQLgpt2.Q3_K_L.gguf	Q3_K_L	0.1GB
SQLgpt2.IQ4_XS.gguf	IQ4_XS	0.1GB
SQLgpt2.Q4_0.gguf	Q4_0	0.1GB
SQLgpt2.IQ4_NL.gguf	IQ4_NL	0.1GB
SQLgpt2.Q4_K_S.gguf	Q4_K_S	0.1GB
SQLgpt2.Q4_K.gguf	Q4_K	0.11GB
SQLgpt2.Q4_K_M.gguf	Q4_K_M	0.11GB
SQLgpt2.Q4_1.gguf	Q4_1	0.11GB
SQLgpt2.Q5_0.gguf	Q5_0	0.11GB
SQLgpt2.Q5_K_S.gguf	Q5_K_S	0.11GB
SQLgpt2.Q5_K.gguf	Q5_K	0.12GB
SQLgpt2.Q5_K_M.gguf	Q5_K_M	0.12GB
SQLgpt2.Q5_1.gguf	Q5_1	0.12GB
SQLgpt2.Q6_K.gguf	Q6_K	0.13GB
SQLgpt2.Q8_0.gguf	Q8_0	0.17GB

Original model description:

library_name: transformers license: mit base_model: gpt2 tags:

generated_from_trainer model-index:
name: SQLgpt2 results: []

SQLgpt2

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

Loss: 0.4502

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: 4
eval_batch_size: 4
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.5039	1.0	15716	0.4827
0.4513	2.0	31432	0.4577
0.4199	3.0	47148	0.4502

Framework versions

Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3