End of training

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,79 @@
+---
+base_model: cardiffnlp/twitter-xlm-roberta-base-sentiment
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: fineTuningXLMRoberta-TokenClassification-latest
+  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. -->
+
+# fineTuningXLMRoberta-TokenClassification-latest
+
+This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8366
+- Precision: 0.1689
+- Recall: 0.1683
+- F1: 0.1686
+- Accuracy: 0.6766
+
+## 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: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 33   | 0.7181          | 0.1472    | 0.1219 | 0.1333 | 0.6725   |
+| No log        | 2.0   | 66   | 0.7405          | 0.1414    | 0.1644 | 0.1521 | 0.6716   |
+| No log        | 3.0   | 99   | 0.6809          | 0.1694    | 0.1393 | 0.1529 | 0.6976   |
+| No log        | 4.0   | 132  | 0.7435          | 0.1216    | 0.1393 | 0.1298 | 0.6450   |
+| No log        | 5.0   | 165  | 0.7392          | 0.1709    | 0.1431 | 0.1558 | 0.6904   |
+| No log        | 6.0   | 198  | 0.7356          | 0.1768    | 0.1741 | 0.1754 | 0.6880   |
+| No log        | 7.0   | 231  | 0.7665          | 0.1699    | 0.1683 | 0.1691 | 0.6841   |
+| No log        | 8.0   | 264  | 0.7958          | 0.1540    | 0.1683 | 0.1608 | 0.6537   |
+| No log        | 9.0   | 297  | 0.8161          | 0.1607    | 0.1567 | 0.1587 | 0.6742   |
+| No log        | 10.0  | 330  | 0.8132          | 0.1776    | 0.1721 | 0.1749 | 0.6778   |
+| No log        | 11.0  | 363  | 0.8387          | 0.1617    | 0.1663 | 0.1640 | 0.6672   |
+| No log        | 12.0  | 396  | 0.8290          | 0.1770    | 0.1760 | 0.1765 | 0.6795   |
+| No log        | 13.0  | 429  | 0.8456          | 0.1770    | 0.1760 | 0.1765 | 0.6750   |
+| No log        | 14.0  | 462  | 0.8377          | 0.1692    | 0.1702 | 0.1697 | 0.6762   |
+| No log        | 15.0  | 495  | 0.8366          | 0.1689    | 0.1683 | 0.1686 | 0.6766   |
+
+
+### Framework versions
+
+- Transformers 4.44.0
+- Pytorch 2.4.0
+- Datasets 2.21.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,39 @@
+{
+  "_name_or_path": "cardiffnlp/twitter-xlm-roberta-base-sentiment",
+  "architectures": [
+    "XLMRobertaForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "negative",
+    "1": "positive",
+    "2": "O"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "O": 2,
+    "negative": 0,
+    "positive": 1
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

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special_tokens_map.json

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+}

tokenizer.json

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tokenizer_config.json

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+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": "<mask>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "XLMRobertaTokenizer",
+  "unk_token": "<unk>"
+}

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