End of training

README.md

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+---
+license: apache-2.0
+base_model: distilbert-base-multilingual-cased
+tags:
+- pytorch
+- amazon-rating
+- DistilBERTForSequenceClassification
+- generated_from_trainer
+metrics:
+- accuracy
+- matthews_correlation
+model-index:
+- name: distilbert-base-amazon-multi
+  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-base-amazon-multi
+
+This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the mteb/amazon_reviews_multi dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9292
+- Accuracy: 0.6055
+- Matthews Correlation: 0.5072
+
+## 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: 320
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 100000
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Accuracy | Matthews Correlation |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|:--------------------:|
+| 1.0008        | 0.26  | 10000  | 1.0027          | 0.5616   | 0.4520               |
+| 0.9545        | 0.51  | 20000  | 0.9705          | 0.5810   | 0.4788               |
+| 0.9216        | 0.77  | 30000  | 0.9415          | 0.5883   | 0.4868               |
+| 0.8765        | 1.03  | 40000  | 0.9495          | 0.5891   | 0.4871               |
+| 0.8837        | 1.28  | 50000  | 0.9254          | 0.5992   | 0.4997               |
+| 0.8753        | 1.54  | 60000  | 0.9199          | 0.6014   | 0.5029               |
+| 0.8572        | 1.8   | 70000  | 0.9108          | 0.6090   | 0.5117               |
+| 0.7851        | 2.05  | 80000  | 0.9276          | 0.6052   | 0.5066               |
+| 0.7918        | 2.31  | 90000  | 0.9292          | 0.6055   | 0.5072               |
+| 0.793         | 2.57  | 100000 | 0.9288          | 0.6064   | 0.5084               |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

evaluate_results.json

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+{
+    "epoch": 2.57,
+    "eval_accuracy": 0.6054761904761905,
+    "eval_loss": 0.9292314648628235,
+    "eval_matthews_correlation": 0.5072025915463576,
+    "eval_runtime": 63.8498,
+    "eval_samples_per_second": 197.338,
+    "eval_steps_per_second": 0.626
+}

runs/Dec02_02-38-05_4888c9987e8e/events.out.tfevents.1701484697.4888c9987e8e.398.0

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