End of training

README.md

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+---
+license: apache-2.0
+base_model: distilbert-base-multilingual-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: distilbertmultilang
+  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. -->
+
+# distilbertmultilang
+
+This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4805
+- Accuracy: 0.7379
+- Precision: 0.7298
+- Recall: 0.6589
+- F1: 0.6655
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 999
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.6716        | 1.0   | 761  | 0.6002          | 0.7350   | 0.7062    | 0.7171 | 0.7089 |
+| 0.4098        | 2.0   | 1522 | 0.5889          | 0.7777   | 0.7491    | 0.7270 | 0.7333 |
+| 0.0879        | 3.0   | 2283 | 0.6567          | 0.7813   | 0.7539    | 0.7370 | 0.7423 |
+| 0.1553        | 4.0   | 3044 | 0.7680          | 0.7626   | 0.7367    | 0.7076 | 0.7163 |
+| 0.0549        | 5.0   | 3805 | 0.9480          | 0.7646   | 0.7338    | 0.7245 | 0.7282 |
+| 0.0034        | 6.0   | 4566 | 1.2325          | 0.7599   | 0.7300    | 0.7133 | 0.7185 |
+| 0.558         | 7.0   | 5327 | 1.3659          | 0.7399   | 0.7091    | 0.7197 | 0.7121 |
+| 0.0041        | 8.0   | 6088 | 1.4805          | 0.7379   | 0.7298    | 0.6589 | 0.6655 |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "distilbert-base-multilingual-cased",
+  "activation": "tanh",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "positive",
+    "1": "negative",
+    "2": "neutral"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "output_past": true,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.37.2",
+  "vocab_size": 119547
+}

model.safetensors

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runs/Feb25_04-43-20_default/events.out.tfevents.1708836209.default.89.1

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training_args.bin

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