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llama_7b_hf_relu_refined_web_relu_2024-03-26 – AI Model by thrunlab | AlphaNeural AI
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thrunlab
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llama_7b_hf_relu_refined_web_relu_2024-03-26
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transformers
safetensors
sparse_llama
text-generation
generated_from_trainer
custom_code
meta-llama/Llama-2-7b-hf
finetune
autotrain_compatible
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llama_7b_hf_relu_refined_web_relu_2024-03-26
This model is a fine-tuned version of
meta-llama/Llama-2-7b-hf
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.6081
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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 0
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
total_train_batch_size: 64
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 200
Training results
Training Loss
Epoch
Step
Validation Loss
9.5465
0.02
25
9.1446
7.7377
0.03
50
7.5825
6.5903
0.05
75
6.3866
5.4942
0.06
100
5.3487
4.6502
0.08
125
4.6675
4.2062
0.1
150
4.2042
3.7988
0.11
175
3.8759
3.5327
0.13
200
3.6560
Framework versions
Transformers 4.36.2
Pytorch 2.1.1+cu121
Datasets 2.15.0
Tokenizers 0.15.2
