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RichardErkhov/
tsavage68_-_Na_M2_300steps_1e8rate_01beta_cSFTDPO-gguf

Name: tsavage68_-_Na_M2_300steps_1e8rate_01beta_cSFTDPO-gguf
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Quantization made by Richard Erkhov.

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Na_M2_300steps_1e8rate_01beta_cSFTDPO - GGUF

Model creator: https://huggingface.co/tsavage68/
Original model: https://huggingface.co/tsavage68/Na_M2_300steps_1e8rate_01beta_cSFTDPO/

Name	Quant method	Size
Na_M2_300steps_1e8rate_01beta_cSFTDPO.Q2_K.gguf	Q2_K	2.53GB
Na_M2_300steps_1e8rate_01beta_cSFTDPO.IQ3_XS.gguf	IQ3_XS	2.81GB
Na_M2_300steps_1e8rate_01beta_cSFTDPO.IQ3_S.gguf	IQ3_S	2.96GB
Na_M2_300steps_1e8rate_01beta_cSFTDPO.Q3_K_S.gguf	Q3_K_S	2.95GB
Na_M2_300steps_1e8rate_01beta_cSFTDPO.IQ3_M.gguf	IQ3_M	3.06GB
Na_M2_300steps_1e8rate_01beta_cSFTDPO.Q3_K.gguf	Q3_K	3.28GB
Na_M2_300steps_1e8rate_01beta_cSFTDPO.Q3_K_M.gguf	Q3_K_M	3.28GB
Na_M2_300steps_1e8rate_01beta_cSFTDPO.Q3_K_L.gguf	Q3_K_L	3.56GB
Na_M2_300steps_1e8rate_01beta_cSFTDPO.IQ4_XS.gguf	IQ4_XS	3.67GB
Na_M2_300steps_1e8rate_01beta_cSFTDPO.Q4_0.gguf	Q4_0	3.83GB
Na_M2_300steps_1e8rate_01beta_cSFTDPO.IQ4_NL.gguf	IQ4_NL	3.87GB
Na_M2_300steps_1e8rate_01beta_cSFTDPO.Q4_K_S.gguf	Q4_K_S	3.86GB
Na_M2_300steps_1e8rate_01beta_cSFTDPO.Q4_K.gguf	Q4_K	4.07GB
Na_M2_300steps_1e8rate_01beta_cSFTDPO.Q4_K_M.gguf	Q4_K_M	4.07GB
Na_M2_300steps_1e8rate_01beta_cSFTDPO.Q4_1.gguf	Q4_1	4.24GB
Na_M2_300steps_1e8rate_01beta_cSFTDPO.Q5_0.gguf	Q5_0	4.65GB
Na_M2_300steps_1e8rate_01beta_cSFTDPO.Q5_K_S.gguf	Q5_K_S	4.65GB
Na_M2_300steps_1e8rate_01beta_cSFTDPO.Q5_K.gguf	Q5_K	4.78GB
Na_M2_300steps_1e8rate_01beta_cSFTDPO.Q5_K_M.gguf	Q5_K_M	4.78GB
Na_M2_300steps_1e8rate_01beta_cSFTDPO.Q5_1.gguf	Q5_1	5.07GB
Na_M2_300steps_1e8rate_01beta_cSFTDPO.Q6_K.gguf	Q6_K	5.53GB
Na_M2_300steps_1e8rate_01beta_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_300steps_1e8rate_01beta_cSFTDPO results: []

Na_M2_300steps_1e8rate_01beta_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: 0.6653
Rewards/chosen: 0.0172
Rewards/rejected: -0.0396
Rewards/accuracies: 0.9100
Rewards/margins: 0.0568
Logps/rejected: -80.3192
Logps/chosen: -47.9599
Logits/rejected: -2.5356
Logits/chosen: -2.5482

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: 300

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.6929	0.2667	50	0.6931	-0.0010	-0.0014	0.5700	0.0003	-79.9371	-48.1427	-2.5355	-2.5481
0.6881	0.5333	100	0.6832	0.0062	-0.0142	0.6900	0.0204	-80.0656	-48.0704	-2.5357	-2.5482
0.67	0.8	150	0.6690	0.0151	-0.0343	0.9000	0.0494	-80.2661	-47.9813	-2.5359	-2.5485
0.6726	1.0667	200	0.6633	0.0167	-0.0444	0.9500	0.0611	-80.3677	-47.9656	-2.5356	-2.5482
0.6615	1.3333	250	0.6653	0.0172	-0.0396	0.9100	0.0568	-80.3192	-47.9599	-2.5356	-2.5482
0.667	1.6	300	0.6653	0.0172	-0.0396	0.9100	0.0568	-80.3192	-47.9599	-2.5356	-2.5482

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1

RichardErkhov/tsavage68_-_Na_M2_300steps_1e8rate_01beta_cSFTDPO-gguf

Original model description:

Na_M2_300steps_1e8rate_01beta_cSFTDPO

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RichardErkhov/
tsavage68_-_Na_M2_300steps_1e8rate_01beta_cSFTDPO-gguf