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mistral_sequence_classification – AI Model by thenlpresearcher | AlphaNeural AI
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mistral_sequence_classification
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peft
tensorboard
safetensors
generated_from_trainer
mistralai/Mistral-7B-v0.3
adapter
apache-2.0
us
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mistral_sequence_classification
This model is a fine-tuned version of
mistralai/Mistral-7B-v0.3
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2667
Pearson: 0.9704
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: 0.0001
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Pearson
No log
1.0
206
0.3305
0.9028
No log
2.0
412
0.2609
0.9532
0.4868
3.0
618
0.2432
0.9611
0.4868
4.0
824
0.2611
0.9639
0.0417
5.0
1030
0.2667
0.9704
Framework versions
PEFT 0.14.0
Transformers 4.45.2
Pytorch 2.4.0a0+f70bd71a48.nv24.06
Datasets 3.2.0
Tokenizers 0.20.3
