Model save

README.md

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+---
+license: apache-2.0
+base_model: distilbert/distilbert-base-multilingual-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: distilbert-multi-finetuning
+  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. -->
+
+# distilbert-multi-finetuning
+
+This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/distilbert/distilbert-base-multilingual-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8003
+- Accuracy: 0.8017
+- F1: 0.7994
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|:------:|
+| 0.9844        | 1.0   | 65741  | 1.0179          | 0.7508   | 0.7414 |
+| 1.0829        | 2.0   | 131482 | 0.9029          | 0.7744   | 0.7687 |
+| 0.5999        | 3.0   | 197223 | 0.8359          | 0.7900   | 0.7870 |
+| 0.4741        | 4.0   | 262964 | 0.8003          | 0.8017   | 0.7994 |
+| 0.7136        | 5.0   | 328705 | 0.8279          | 0.8060   | 0.8041 |
+
+
+### Framework versions
+
+- Transformers 4.43.3
+- Pytorch 2.4.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.8016702414092092,
+    "eval_f1": 0.7994266363533695,
+    "eval_loss": 0.800292432308197,
+    "eval_runtime": 346.4376,
+    "eval_samples_per_second": 506.019,
+    "eval_steps_per_second": 63.252
+}

eval_results.json

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+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.8016702414092092,
+    "eval_f1": 0.7994266363533695,
+    "eval_loss": 0.800292432308197,
+    "eval_runtime": 346.4376,
+    "eval_samples_per_second": 506.019,
+    "eval_steps_per_second": 63.252
+}

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