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yi_34B_8k_classification – AI Model by hiiamsid | AlphaNeural AI
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yi_34B_8k_classification
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transformers
safetensors
llama
text-generation
generated_from_trainer
conversational
01-ai/Yi-34B
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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yi_34B_8k_classification
This model is a fine-tuned version of
01-ai/Yi-34B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1806
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-07
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 32
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.2209
1.0
223
0.1886
0.232
2.0
446
0.1809
0.1667
3.0
669
0.1806
Framework versions
Transformers 4.36.0
Pytorch 2.0.1+cu118
Datasets 2.16.1
Tokenizers 0.15.1
