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tweetsum – AI Model by sahlebrahim | AlphaNeural AI
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sahlebrahim
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tweetsum
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transformers
pytorch
safetensors
llama
text-generation
generated_from_trainer
dialogstudio
meta-llama/Llama-2-7b-hf
finetune
llama2
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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tweetsum
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: 1.8487
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.8454
0.6
33
1.8960
1.7774
1.2
66
1.8618
1.7614
1.8
99
1.8451
1.6242
2.4
132
1.8505
1.6076
3.0
165
1.8487
Framework versions
Transformers 4.32.1
Pytorch 2.0.1+cu117
Datasets 2.20.0
Tokenizers 0.13.3
