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qlora-adapter-Llama-2-7b-hf-TweetSumm – AI Model by vineetsharma | AlphaNeural AI
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qlora-adapter-Llama-2-7b-hf-TweetSumm
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safetensors
generated_from_trainer
dialogstudio
meta-llama/Llama-2-7b-hf
finetune
us
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qlora-Llama-2-7b-hf-TweetSumm
This model is a fine-tuned version of
meta-llama/Llama-2-7b-hf
on the dialogstudio dataset. It achieves the following results on the evaluation set:
Loss: 1.9484
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: 0.0001
train_batch_size: 4
eval_batch_size: 8
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: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
1.8058
1.0
55
1.8689
1.6983
2.0
110
1.8402
1.5008
3.0
165
1.8654
1.2814
4.0
220
1.9171
1.3227
5.0
275
1.9484
Framework versions
Transformers 4.32.1
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
