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SequentialLearnerv13 – AI Model by Ehraim | AlphaNeural AI | AlphaNeural AI
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Ehraim
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SequentialLearnerv13
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transformers
tensorboard
safetensors
mistral
text-generation
generated_from_trainer
mistralai/Mistral-7B-v0.1
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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SequentialLearnerv13
This model is a fine-tuned version of
mistralai/Mistral-7B-v0.1
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6029
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.5
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
165
0.5458
No log
2.0
331
0.5264
No log
3.0
497
0.5314
0.5201
3.98
660
0.6029
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
