model updated

README.md

@@ -19,16 +19,16 @@ model-index:
     metrics:
     - name: Perplexity
       type: perplexity
-      value: 37.35
+      value: 28.6
     - name: Training Loss
       type: loss
-      value: 3.03
+      value: 3.12
 ---
 
 # Model Card for GPT-2 Tigrinya Medium
 
 ## Model Summary
-This is a GPT-2 model trained from scratch on Tigrinya text data. It was trained on 20 million tokens, primarily from news sources. The model is specifically designed for generating Tigrinya text using the Hugging Face Transformers library.
+This is a GPT-2 model trained from scratch on Tigrinya text data. It was trained on 20.6 million tokens, primarily from news sources. The model is specifically designed for generating Tigrinya text using the Hugging Face Transformers library.
 
 #### Model Description
 - Model type: GPT-2
@@ -43,12 +43,12 @@ This is a GPT-2 model trained from scratch on Tigrinya text data. It was trained
 #### Training Details
 - Training regime: fp16 mixed precision
 - Number of Epochs: 12
-- Batch Size: 4 (with gradient accumulation steps of 8)
+- Batch Size: 6 (with gradient accumulation steps of 8)
 - Learning Rate: 5e-4
 
 #### Evaluation
-- Training Perplexity: 37.35
-- Training Loss: 3.03
+- Training Perplexity: 28.6
+- Training Loss: 3.12
 
 #### Usage
 

pytorch_model.bin

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training_args.bin

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