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Mixtral-8x7B-v0.1_case-briefs – AI Model by retrieval-bar | AlphaNeural AI
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Mixtral-8x7B-v0.1_case-briefs
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peft
safetensors
generated_from_trainer
mistralai/Mixtral-8x7B-v0.1
adapter
apache-2.0
us
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Mixtral-8x7B-v0.1_case-briefs
This model is a fine-tuned version of
mistralai/Mixtral-8x7B-v0.1
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.0422
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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 2.0
Training results
Training Loss
Epoch
Step
Validation Loss
0.9925
0.34
50
1.0546
0.9873
0.68
100
1.0322
0.9577
1.02
150
1.0260
0.8504
1.36
200
1.0648
0.9154
1.7
250
1.0422
Framework versions
PEFT 0.7.1
Transformers 4.37.2
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.1