End of training

README.md

@@ -14,12 +14,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # donut-base-my_model_1_new_1
 
-This model is a fine-tuned version of [Manab/donut-base-my_model_1_new](https://huggingface.co/Manab/donut-base-my_model_1_new) on the imagefolder dataset.
+This model is a fine-tuned version of [Manab/donut-base-my_model_1_new_1](https://huggingface.co/Manab/donut-base-my_model_1_new_1) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 1.9096
-- eval_runtime: 42.027
-- eval_samples_per_second: 0.69
-- eval_steps_per_second: 0.095
+- eval_loss: 1.8017
+- eval_runtime: 42.3382
+- eval_samples_per_second: 0.685
+- eval_steps_per_second: 0.094
 - epoch: 0.96
 - step: 250
 
@@ -40,7 +40,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0001
+- learning_rate: 2e-05
 - train_batch_size: 1
 - eval_batch_size: 8
 - seed: 42

config.json

@@ -1,6 +1,6 @@
 {
-  "_commit_hash": "75a300575e5476d47ea635c1200befe982daa372",
-  "_name_or_path": "Manab/donut-base-my_model_1_new",
+  "_commit_hash": "e08c92bb05e27b8e25c97a7e20603b35d7fc1053",
+  "_name_or_path": "Manab/donut-base-my_model_1_new_1",
   "architectures": [
     "VisionEncoderDecoderModel"
   ],

pytorch_model.bin

@@ -1,3 +1,3 @@
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runs/Jul03_06-12-34_c93941b8213c/events.out.tfevents.1688364767.c93941b8213c.1062.3

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training_args.bin

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