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mistral-instruct-duress-data – AI Model by ledat1205 | AlphaNeural AI
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mistral-instruct-duress-data
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transformers
safetensors
mistral
text-generation
trl
sft
generated_from_trainer
conversational
generator
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Model card
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This model was trained from scratch on the generator dataset. It achieves the following results on the evaluation set:
Loss: 0.0959
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: 0.0002
train_batch_size: 48
eval_batch_size: 12
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 90
training_steps: 906
Training results
Training Loss
Epoch
Step
Validation Loss
0.1489
0.6094
181
0.1426
0.1299
1.2189
362
0.1197
0.1036
1.8283
543
0.1043
0.0999
2.4377
724
0.0975
0.0868
3.0471
905
0.0959
Framework versions
Transformers 4.41.1
Pytorch 2.0.1+cu118
Datasets 2.16.0
Tokenizers 0.19.1
