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socrates_no_context – AI Model by tylercross | AlphaNeural AI
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tylercross
/
socrates_no_context
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transformers
mistral
text-generation
generated_from_trainer
mistralai/Mistral-7B-v0.1
quantized
apache-2.0
autotrain_compatible
endpoints_compatible
4-bit
bitsandbytes
us
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Model card
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This model is a fine-tuned version of
mistralai/Mistral-7B-v0.1
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.3313
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 10
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
2.4833
0.13
1
2.5152
2.5615
0.26
2
2.5078
2.4965
0.39
3
2.4691
2.3902
0.52
4
2.4249
2.3629
0.65
5
2.3824
2.2324
0.77
6
2.3441
2.1907
0.9
7
2.3313
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0
