End of training

README.md

@@ -35,8 +35,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 64
+- eval_batch_size: 64
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -46,12 +46,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 250  | 0.0004          |
+| No log        | 1.0   | 63   | 0.0016          |
 
 
 ### Framework versions
 
-- Transformers 4.36.1
-- Pytorch 2.1.0+cu121
+- Transformers 4.36.2
+- Pytorch 2.1.2+cu121
 - Datasets 2.15.0
 - Tokenizers 0.15.0

config.json

@@ -19,6 +19,6 @@
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.36.1",
+  "transformers_version": "4.36.2",
   "vocab_size": 30522
 }

model.safetensors

@@ -1,3 +1,3 @@
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training_args.bin

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