Model save

README.md

@@ -3,6 +3,8 @@ library_name: transformers
 base_model: ai4bharat/IndicBART
 tags:
 - generated_from_trainer
+metrics:
+- bleu
 model-index:
 - name: codemix-test
   results: []
@@ -14,6 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 # codemix-test
 
 This model is a fine-tuned version of [ai4bharat/IndicBART](https://huggingface.co/ai4bharat/IndicBART) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.5032
+- Bleu: 17.4363
+- Gen Len: 20.978
 
 ## Model description
 
@@ -33,22 +39,29 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-06
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 64
+- total_train_batch_size: 32
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - num_epochs: 5
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| 5.8666        | 1.0   | 1004 | 4.9742          | 13.3823 | 21.0    |
+| 4.8088        | 2.0   | 2008 | 4.0212          | 15.3375 | 21.0    |
+| 4.2735        | 3.0   | 3012 | 3.6499          | 16.3145 | 21.0    |
+| 4.0836        | 4.0   | 4016 | 3.5329          | 17.3835 | 20.996  |
+| 4.0152        | 5.0   | 5020 | 3.5032          | 17.4363 | 20.978  |
 
 
 ### Framework versions
 
-- Transformers 4.51.3
+- Transformers 4.52.3
 - Pytorch 2.6.0+cu124
-- Datasets 3.6.0
+- Datasets 2.14.4
 - Tokenizers 0.21.1

generation_config.json

@@ -1,8 +1,7 @@
 {
-  "_from_model_config": true,
   "bos_token_id": 64000,
   "eos_token_id": 64001,
   "forced_eos_token_id": 2,
   "pad_token_id": 0,
-  "transformers_version": "4.51.3"
+  "transformers_version": "4.52.3"
 }