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Toastmachine/
Mistral_12B_CSAT_0.5

Name: Mistral_12B_CSAT_0.5
Availability: InStock

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Mistral_12B_CSAT_0.5

This model is a fine-tuned version of nbeerbower/mistral-nemo-wissenschaft-12B on the None dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 1
eval_batch_size: 1
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: 100
num_epochs: 1

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.5828	0.1683	300	0.8905	0.8141	0.8153
1.0418	0.3365	600	0.9473	0.8241	0.8256
0.2862	0.5048	900	0.7215	0.8191	0.8228
0.3758	0.6730	1200	0.8167	0.8241	0.8255
0.5865	0.8413	1500	0.9048	0.8291	0.8310