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RichardErkhov/
Nirwa22_-_Fine_tuned_model_final-gguf

Name: Nirwa22_-_Fine_tuned_model_final-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

Fine_tuned_model_final - GGUF

Name	Quant method	Size
Fine_tuned_model_final.Q2_K.gguf	Q2_K	0.06GB
Fine_tuned_model_final.IQ3_XS.gguf	IQ3_XS	0.07GB
Fine_tuned_model_final.IQ3_S.gguf	IQ3_S	0.07GB
Fine_tuned_model_final.Q3_K_S.gguf	Q3_K_S	0.07GB
Fine_tuned_model_final.IQ3_M.gguf	IQ3_M	0.07GB
Fine_tuned_model_final.Q3_K.gguf	Q3_K	0.07GB
Fine_tuned_model_final.Q3_K_M.gguf	Q3_K_M	0.07GB
Fine_tuned_model_final.Q3_K_L.gguf	Q3_K_L	0.07GB
Fine_tuned_model_final.IQ4_XS.gguf	IQ4_XS	0.07GB
Fine_tuned_model_final.Q4_0.gguf	Q4_0	0.08GB
Fine_tuned_model_final.IQ4_NL.gguf	IQ4_NL	0.08GB
Fine_tuned_model_final.Q4_K_S.gguf	Q4_K_S	0.08GB
Fine_tuned_model_final.Q4_K.gguf	Q4_K	0.08GB
Fine_tuned_model_final.Q4_K_M.gguf	Q4_K_M	0.08GB
Fine_tuned_model_final.Q4_1.gguf	Q4_1	0.08GB
Fine_tuned_model_final.Q5_0.gguf	Q5_0	0.09GB
Fine_tuned_model_final.Q5_K_S.gguf	Q5_K_S	0.09GB
Fine_tuned_model_final.Q5_K.gguf	Q5_K	0.09GB
Fine_tuned_model_final.Q5_K_M.gguf	Q5_K_M	0.09GB
Fine_tuned_model_final.Q5_1.gguf	Q5_1	0.09GB
Fine_tuned_model_final.Q6_K.gguf	Q6_K	0.1GB
Fine_tuned_model_final.Q8_0.gguf	Q8_0	0.12GB

Original model description:

base_model: distilgpt2 library_name: transformers license: apache-2.0 metrics:

This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	3	3.5381	0.0022
No log	2.0	6	3.5006	0.0022
No log	3.0	9	3.4833	0.0022
No log	4.0	12	3.4797	0.0022
No log	5.0	15	3.4797	0.0022