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RichardErkhov/
Michaelj1_-_distilgpt2-finetuned-gguf

Name: Michaelj1_-_distilgpt2-finetuned-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

distilgpt2-finetuned - GGUF

Name	Quant method	Size
distilgpt2-finetuned.Q2_K.gguf	Q2_K	0.06GB
distilgpt2-finetuned.IQ3_XS.gguf	IQ3_XS	0.07GB
distilgpt2-finetuned.IQ3_S.gguf	IQ3_S	0.07GB
distilgpt2-finetuned.Q3_K_S.gguf	Q3_K_S	0.07GB
distilgpt2-finetuned.IQ3_M.gguf	IQ3_M	0.07GB
distilgpt2-finetuned.Q3_K.gguf	Q3_K	0.07GB
distilgpt2-finetuned.Q3_K_M.gguf	Q3_K_M	0.07GB
distilgpt2-finetuned.Q3_K_L.gguf	Q3_K_L	0.07GB
distilgpt2-finetuned.IQ4_XS.gguf	IQ4_XS	0.07GB
distilgpt2-finetuned.Q4_0.gguf	Q4_0	0.08GB
distilgpt2-finetuned.IQ4_NL.gguf	IQ4_NL	0.08GB
distilgpt2-finetuned.Q4_K_S.gguf	Q4_K_S	0.08GB
distilgpt2-finetuned.Q4_K.gguf	Q4_K	0.08GB
distilgpt2-finetuned.Q4_K_M.gguf	Q4_K_M	0.08GB
distilgpt2-finetuned.Q4_1.gguf	Q4_1	0.08GB
distilgpt2-finetuned.Q5_0.gguf	Q5_0	0.09GB
distilgpt2-finetuned.Q5_K_S.gguf	Q5_K_S	0.09GB
distilgpt2-finetuned.Q5_K.gguf	Q5_K	0.09GB
distilgpt2-finetuned.Q5_K_M.gguf	Q5_K_M	0.09GB
distilgpt2-finetuned.Q5_1.gguf	Q5_1	0.09GB
distilgpt2-finetuned.Q6_K.gguf	Q6_K	0.1GB
distilgpt2-finetuned.Q8_0.gguf	Q8_0	0.12GB

Original model description:

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

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
4.0748	0.0436	50	3.8923
3.8414	0.0871	100	3.8125
3.8957	0.1307	150	3.7769
3.8723	0.1743	200	3.7545
4.0205	0.2179	250	3.7336
3.7175	0.2614	300	3.7282
3.7778	0.3050	350	3.7111
3.7763	0.3486	400	3.6994
3.8142	0.3922	450	3.6945
3.7654	0.4357	500	3.6831
3.9636	0.4793	550	3.6773
3.703	0.5229	600	3.6692
3.6114	0.5664	650	3.6647
3.6269	0.6100	700	3.6591
3.693	0.6536	750	3.6564
3.7969	0.6972	800	3.6529
3.6011	0.7407	850	3.6491
3.4943	0.7843	900	3.6466
3.7543	0.8279	950	3.6440
3.861	0.8715	1000	3.6406
3.5354	0.9150	1050	3.6401
3.6661	0.9586	1100	3.6396