Initial Commit

README.md

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+---
+license: mit
+base_model: facebook/xlm-v-base
+tags:
+- generated_from_trainer
+datasets:
+- massive
+metrics:
+- accuracy
+- f1
+model-index:
+- name: scenario-TCR-XLMV_data-AmazonScience_massive_all_1_1_delta
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: massive
+      type: massive
+      config: all_1.1
+      split: validation
+      args: all_1.1
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.051647811116576486
+    - name: F1
+      type: f1
+      value: 0.0016647904742274576
+---
+
+<!-- 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. -->
+
+# scenario-TCR-XLMV_data-AmazonScience_massive_all_1_1_delta
+
+This model is a fine-tuned version of [facebook/xlm-v-base](https://huggingface.co/facebook/xlm-v-base) on the massive dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.8343
+- Accuracy: 0.0516
+- F1: 0.0017
+
+## 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: 11213
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 500
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
+| 3.7591        | 0.27  | 5000  | 3.7340          | 0.0644   | 0.0021 |
+| 3.7519        | 0.53  | 10000 | 3.7681          | 0.0620   | 0.0020 |
+| 3.7417        | 0.8   | 15000 | 3.8022          | 0.0620   | 0.0020 |
+| 3.7237        | 1.07  | 20000 | 3.8134          | 0.0516   | 0.0017 |
+| 3.7217        | 1.34  | 25000 | 3.8412          | 0.0516   | 0.0017 |
+| 3.7172        | 1.6   | 30000 | 3.8343          | 0.0516   | 0.0017 |
+
+
+### Framework versions
+
+- Transformers 4.33.3
+- Pytorch 2.1.1+cu121
+- Datasets 2.14.5
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "facebook/xlm-v-base",
+  "architectures": [
+    "XLMRobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
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+    "6": "LABEL_6",
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+  "vocab_size": 901629
+}

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