End of training

README.md

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+---
+license: apache-2.0
+base_model: lxyuan/distilbert-base-multilingual-cased-sentiments-student
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: my-awesome-model
+  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. -->
+
+# my-awesome-model
+
+This model is a fine-tuned version of [lxyuan/distilbert-base-multilingual-cased-sentiments-student](https://huggingface.co/lxyuan/distilbert-base-multilingual-cased-sentiments-student) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8663
+- Accuracy: 0.654
+
+## 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
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 125  | 1.4498          | 0.637    |
+| No log        | 2.0   | 250  | 2.0689          | 0.632    |
+| No log        | 3.0   | 375  | 1.8663          | 0.654    |
+
+
+### Framework versions
+
+- Transformers 4.36.1
+- Pytorch 2.1.2
+- Datasets 2.15.0
+- Tokenizers 0.15.0

config.json

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+{
+  "_name_or_path": "lxyuan/distilbert-base-multilingual-cased-sentiments-student",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "positive",
+    "1": "neutral",
+    "2": "negative"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "negative": 2,
+    "neutral": 1,
+    "positive": 0
+  },
+  "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": "4.36.1",
+  "vocab_size": 119547
+}

model.safetensors

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+size 541320452

runs/Dec17_23-24-34_STOLTMM36X4K2/events.out.tfevents.1702851875.STOLTMM36X4K2.75179.2

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training_args.bin

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