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RichardErkhov/
tsavage68_-_Na_M2_350steps_1e8rate_03beta_cSFTDPO-gguf

Name: tsavage68_-_Na_M2_350steps_1e8rate_03beta_cSFTDPO-gguf
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Quantization made by Richard Erkhov.

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Na_M2_350steps_1e8rate_03beta_cSFTDPO - GGUF

Model creator: https://huggingface.co/tsavage68/
Original model: https://huggingface.co/tsavage68/Na_M2_350steps_1e8rate_03beta_cSFTDPO/

Name	Quant method	Size
Na_M2_350steps_1e8rate_03beta_cSFTDPO.Q2_K.gguf	Q2_K	2.53GB
Na_M2_350steps_1e8rate_03beta_cSFTDPO.IQ3_XS.gguf	IQ3_XS	2.81GB
Na_M2_350steps_1e8rate_03beta_cSFTDPO.IQ3_S.gguf	IQ3_S	2.96GB
Na_M2_350steps_1e8rate_03beta_cSFTDPO.Q3_K_S.gguf	Q3_K_S	2.95GB
Na_M2_350steps_1e8rate_03beta_cSFTDPO.IQ3_M.gguf	IQ3_M	3.06GB
Na_M2_350steps_1e8rate_03beta_cSFTDPO.Q3_K.gguf	Q3_K	3.28GB
Na_M2_350steps_1e8rate_03beta_cSFTDPO.Q3_K_M.gguf	Q3_K_M	3.28GB
Na_M2_350steps_1e8rate_03beta_cSFTDPO.Q3_K_L.gguf	Q3_K_L	3.56GB
Na_M2_350steps_1e8rate_03beta_cSFTDPO.IQ4_XS.gguf	IQ4_XS	3.67GB
Na_M2_350steps_1e8rate_03beta_cSFTDPO.Q4_0.gguf	Q4_0	3.83GB
Na_M2_350steps_1e8rate_03beta_cSFTDPO.IQ4_NL.gguf	IQ4_NL	3.87GB
Na_M2_350steps_1e8rate_03beta_cSFTDPO.Q4_K_S.gguf	Q4_K_S	3.86GB
Na_M2_350steps_1e8rate_03beta_cSFTDPO.Q4_K.gguf	Q4_K	4.07GB
Na_M2_350steps_1e8rate_03beta_cSFTDPO.Q4_K_M.gguf	Q4_K_M	4.07GB
Na_M2_350steps_1e8rate_03beta_cSFTDPO.Q4_1.gguf	Q4_1	4.24GB
Na_M2_350steps_1e8rate_03beta_cSFTDPO.Q5_0.gguf	Q5_0	4.65GB
Na_M2_350steps_1e8rate_03beta_cSFTDPO.Q5_K_S.gguf	Q5_K_S	4.65GB
Na_M2_350steps_1e8rate_03beta_cSFTDPO.Q5_K.gguf	Q5_K	4.78GB
Na_M2_350steps_1e8rate_03beta_cSFTDPO.Q5_K_M.gguf	Q5_K_M	4.78GB
Na_M2_350steps_1e8rate_03beta_cSFTDPO.Q5_1.gguf	Q5_1	5.07GB
Na_M2_350steps_1e8rate_03beta_cSFTDPO.Q6_K.gguf	Q6_K	5.53GB
Na_M2_350steps_1e8rate_03beta_cSFTDPO.Q8_0.gguf	Q8_0	7.17GB

Original model description:

library_name: transformers license: apache-2.0 base_model: tsavage68/Na_M2_1000steps_1e7_SFT tags:

trl
dpo
generated_from_trainer model-index:
name: Na_M2_350steps_1e8rate_03beta_cSFTDPO results: []

Na_M2_350steps_1e8rate_03beta_cSFTDPO

This model is a fine-tuned version of tsavage68/Na_M2_1000steps_1e7_SFT on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5980
Rewards/chosen: 0.0777
Rewards/rejected: -0.1272
Rewards/accuracies: 0.9700
Rewards/margins: 0.2049
Logps/rejected: -80.3475
Logps/chosen: -47.8734
Logits/rejected: -2.5363
Logits/chosen: -2.5489

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-08
train_batch_size: 2
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
training_steps: 350

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.6955	0.2667	50	0.6882	0.0099	-0.0031	0.5600	0.0130	-79.9338	-48.0995	-2.5354	-2.5481
0.6761	0.5333	100	0.6730	0.0130	-0.0315	0.6600	0.0445	-80.0283	-48.0889	-2.5363	-2.5489
0.625	0.8	150	0.6053	0.0511	-0.1371	0.9600	0.1882	-80.3805	-47.9621	-2.5355	-2.5481
0.621	1.0667	200	0.5982	0.0431	-0.1619	0.9700	0.2049	-80.4629	-47.9889	-2.5351	-2.5477
0.593	1.3333	250	0.5948	0.0800	-0.1327	0.9700	0.2127	-80.3656	-47.8657	-2.5362	-2.5489
0.5754	1.6	300	0.5980	0.0777	-0.1272	0.9700	0.2049	-80.3475	-47.8734	-2.5363	-2.5489
0.5882	1.8667	350	0.5980	0.0777	-0.1272	0.9700	0.2049	-80.3475	-47.8734	-2.5363	-2.5489

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1

RichardErkhov/tsavage68_-_Na_M2_350steps_1e8rate_03beta_cSFTDPO-gguf

Original model description:

Na_M2_350steps_1e8rate_03beta_cSFTDPO

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RichardErkhov/
tsavage68_-_Na_M2_350steps_1e8rate_03beta_cSFTDPO-gguf