End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: answerdotai/ModernBERT-large
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: ModernBERT-large-FT
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# ModernBERT-large-FT
+
+This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5883
+- Accuracy: 0.8958
+- F1: 0.8910
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.8974        | 1.0   | 477  | 0.2649          | 0.9368   | 0.9359 |
+| 0.1073        | 2.0   | 954  | 0.2305          | 0.9558   | 0.9557 |
+| 0.0481        | 3.0   | 1431 | 0.2310          | 0.9610   | 0.9602 |
+| 0.022         | 4.0   | 1908 | 0.1921          | 0.9645   | 0.9641 |
+| 0.007         | 5.0   | 2385 | 0.1973          | 0.9684   | 0.9678 |
+| 0.0072        | 6.0   | 2862 | 0.1938          | 0.9697   | 0.9694 |
+| 0.006         | 7.0   | 3339 | 0.1998          | 0.97     | 0.9696 |
+| 0.002         | 8.0   | 3816 | 0.2106          | 0.9658   | 0.9654 |
+| 0.0007        | 9.0   | 4293 | 0.2084          | 0.9665   | 0.9661 |
+
+
+### Framework versions
+
+- Transformers 4.56.2
+- Pytorch 2.8.0+cu126
+- Datasets 4.0.0
+- Tokenizers 0.22.1

all_results.json

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+{
+    "epoch": 9.0,
+    "eval_accuracy": 0.8958181818181818,
+    "eval_f1": 0.8909955292760977,
+    "eval_loss": 0.588274359703064,
+    "eval_runtime": 10.1401,
+    "eval_samples_per_second": 542.4,
+    "eval_steps_per_second": 16.962
+}

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runs/Oct09_12-35-57_c2b69ed8843f/events.out.tfevents.1760013417.c2b69ed8843f.2826.0

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test_results.json

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+{
+    "epoch": 9.0,
+    "eval_accuracy": 0.8958181818181818,
+    "eval_f1": 0.8909955292760977,
+    "eval_loss": 0.588274359703064,
+    "eval_runtime": 10.1401,
+    "eval_samples_per_second": 542.4,
+    "eval_steps_per_second": 16.962
+}