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litbank-coref-mixtral-peft-test – AI Model by eddieman78 | AlphaNeural AI
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litbank-coref-mixtral-peft-test
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peft
tensorboard
safetensors
generated_from_trainer
mistralai/Mixtral-8x7B-v0.1
adapter
apache-2.0
us
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litbank-coref-mixtral-peft-test
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: 0.5857
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: 2.5e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT 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: 5
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.699
0.5889
250
0.5857
Framework versions
PEFT 0.15.2
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.1
Tokenizers 0.21.1
