End of training

README.md

@@ -4,6 +4,9 @@ license: cc-by-nc-sa-4.0
 base_model: microsoft/layoutlmv3-base
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- f1
 model-index:
 - name: layoutlmv3_document_classification
   results: []
@@ -16,14 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.8069
-- eval_accuracy: 0.8405
-- eval_f1: 0.8282
-- eval_runtime: 43.399
-- eval_samples_per_second: 21.521
-- eval_steps_per_second: 1.359
-- epoch: 4.7009
-- step: 1100
+- Loss: 0.8183
+- Accuracy: 0.8340
+- F1: 0.8221
 
 ## Model description
 
@@ -42,14 +40,36 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-06
+- learning_rate: 1e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
 - 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
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 10
+- num_epochs: 7
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
+| 0.6545        | 0.4274 | 100  | 0.9149          | 0.8233   | 0.8041 |
+| 0.6313        | 0.8547 | 200  | 0.9024          | 0.8276   | 0.8085 |
+| 0.5714        | 1.2821 | 300  | 0.9112          | 0.8223   | 0.8067 |
+| 0.5408        | 1.7094 | 400  | 0.8816          | 0.8298   | 0.8093 |
+| 0.482         | 2.1368 | 500  | 0.9015          | 0.8244   | 0.8081 |
+| 0.4546        | 2.5641 | 600  | 0.8779          | 0.8287   | 0.8180 |
+| 0.4718        | 2.9915 | 700  | 0.8879          | 0.8212   | 0.8056 |
+| 0.4302        | 3.4188 | 800  | 0.8562          | 0.8276   | 0.8155 |
+| 0.5039        | 3.8462 | 900  | 0.8382          | 0.8330   | 0.8226 |
+| 0.4644        | 4.2735 | 1000 | 0.8455          | 0.8308   | 0.8200 |
+| 0.4411        | 4.7009 | 1100 | 0.8461          | 0.8308   | 0.8228 |
+| 0.4007        | 5.1282 | 1200 | 0.8304          | 0.8308   | 0.8200 |
+| 0.4023        | 5.5556 | 1300 | 0.8370          | 0.8330   | 0.8242 |
+| 0.3756        | 5.9829 | 1400 | 0.8193          | 0.8405   | 0.8286 |
+| 0.3592        | 6.4103 | 1500 | 0.8185          | 0.8394   | 0.8282 |
+| 0.3429        | 6.8376 | 1600 | 0.8183          | 0.8340   | 0.8221 |
+
 
 ### Framework versions
 

model.safetensors

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 size 503973440

training_args.bin

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+oid sha256:84cf2b868a64f2e07969c87c926b36a66eee346affe39502dbb857a58784315e
 size 5304