Update README.md

README.md

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----
-license: mit
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-
-# Evaluator
-
-This model is a fine-tuned version of Meta-Llama-3.1-8B-Instruct
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 5e-06
-- train_batch_size: 2
-- eval_batch_size: 8
-- seed: 42
-- distributed_type: multi-GPU
-- num_devices: 8
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 64
-- total_eval_batch_size: 64
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 100
-- num_epochs: 6.0
-
-### Framework versions
-
-- Transformers 4.44.2
-- Pytorch 2.4.1+cu118
-- Datasets 2.21.0
-- Tokenizers 0.19.1
+---
+license: mit
+---
+
+# Evaluator
+
+This model is a fine-tuned version of Meta-Llama-3.1-8B-Instruct