End of training

README.md

@@ -32,14 +32,13 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
-- train_batch_size: 8
+- learning_rate: 6e-05
+- train_batch_size: 1
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 10
-- mixed_precision_training: Native AMP
 
 ### Training results
 
@@ -47,7 +46,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.35.2
-- Pytorch 2.1.0+cu121
+- Transformers 4.37.2
+- Pytorch 2.2.0+cu118
 - Datasets 2.17.0
-- Tokenizers 0.15.1
+- Tokenizers 0.15.2

config.json

@@ -54,7 +54,7 @@
   "position_embedding_type": "sine",
   "scale_embedding": false,
   "torch_dtype": "float32",
-  "transformers_version": "4.35.2",
+  "transformers_version": "4.37.2",
   "use_pretrained_backbone": true,
   "use_timm_backbone": true
 }

model.safetensors

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

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