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Model: layai/syn-youtube-vanilla
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---
library_name: transformers
base_model: meta-llama/Meta-Llama-3-8B
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: vanilla
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vanilla
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://meta-llama/Meta-Llama-3-8B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3634
- Accuracy: 0.5275
## 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-05
- train_batch_size: 40
- eval_batch_size: 40
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 160
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3.0
### Training results
### Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1

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"perplexity": 28.888548819647102,
"total_flos": 5.24504175476736e+16,
"train_loss": 0.548193981772975,
"train_runtime": 645.3338,
"train_samples": 3070,
"train_samples_per_second": 14.272,
"train_steps_per_second": 0.088
}

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{
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"do_sample": true,
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"max_length": 4096,
"temperature": 0.6,
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