Saving model gmra_cardiffnlp/twitter-roberta-base-sentiment-latest_12112024T150727

README.md

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+---
+library_name: transformers
+base_model: cardiffnlp/twitter-roberta-base-sentiment-latest
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: twitter-roberta-base-sentiment-latest_12112024T150727
+  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. -->
+
+# twitter-roberta-base-sentiment-latest_12112024T150727
+
+This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3348
+- F1: 0.4579
+- Learning Rate: 0.0
+
+## 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: 1e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 600
+- num_epochs: 30
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | F1     | Rate   |
+|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
+| No log        | 0.9942  | 86   | 1.8285          | 0.1193 | 0.0000 |
+| No log        | 2.0     | 173  | 1.8031          | 0.3302 | 0.0000 |
+| No log        | 2.9942  | 259  | 1.5578          | 0.3690 | 0.0000 |
+| No log        | 4.0     | 346  | 1.4611          | 0.4092 | 0.0000 |
+| No log        | 4.9942  | 432  | 1.4700          | 0.4079 | 0.0000 |
+| 1.3786        | 6.0     | 519  | 1.3348          | 0.4579 | 0.0000 |
+| 1.3786        | 6.9942  | 605  | 1.6543          | 0.4193 | 1e-05  |
+| 1.3786        | 8.0     | 692  | 1.4421          | 0.4858 | 1e-05  |
+| 1.3786        | 8.9942  | 778  | 1.5573          | 0.4603 | 0.0000 |
+| 1.3786        | 10.0    | 865  | 1.5451          | 0.4797 | 0.0000 |
+| 1.3786        | 10.9942 | 951  | 1.8338          | 0.4396 | 0.0000 |
+| 0.6407        | 12.0    | 1038 | 1.9383          | 0.4364 | 0.0000 |
+| 0.6407        | 12.9942 | 1124 | 1.7573          | 0.4680 | 0.0000 |
+| 0.6407        | 14.0    | 1211 | 1.8321          | 0.4735 | 0.0000 |
+| 0.6407        | 14.9942 | 1297 | 1.9524          | 0.4619 | 0.0000 |
+| 0.6407        | 16.0    | 1384 | 2.1822          | 0.4591 | 0.0000 |
+| 0.6407        | 16.9942 | 1470 | 2.1302          | 0.4686 | 6e-06  |
+| 0.2608        | 18.0    | 1557 | 2.5139          | 0.4467 | 0.0000 |
+| 0.2608        | 18.9942 | 1643 | 2.3385          | 0.4641 | 0.0000 |
+| 0.2608        | 20.0    | 1730 | 2.3281          | 0.4726 | 0.0000 |
+| 0.2608        | 20.9942 | 1816 | 2.5489          | 0.4722 | 0.0000 |
+| 0.2608        | 22.0    | 1903 | 2.5727          | 0.4745 | 0.0000 |
+| 0.2608        | 22.9942 | 1989 | 2.5584          | 0.4694 | 0.0000 |
+| 0.1026        | 24.0    | 2076 | 2.8115          | 0.4584 | 0.0000 |
+| 0.1026        | 24.9942 | 2162 | 2.7270          | 0.4691 | 0.0000 |
+| 0.1026        | 26.0    | 2249 | 2.7379          | 0.4746 | 7e-07  |
+| 0.1026        | 26.9942 | 2335 | 2.8336          | 0.4757 | 4e-07  |
+| 0.1026        | 28.0    | 2422 | 2.8201          | 0.4703 | 2e-07  |
+| 0.057         | 28.9942 | 2508 | 2.8292          | 0.4691 | 0.0    |
+| 0.057         | 29.8266 | 2580 | 2.8271          | 0.4691 | 0.0    |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.5.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "cardiffnlp/twitter-roberta-base-sentiment-latest",
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "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": "acknowledgement",
+    "1": "change_request",
+    "2": "critical",
+    "3": "discussion_participation",
+    "4": "discussion_trigger",
+    "5": "reference"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "acknowledgement": 0,
+    "change_request": 1,
+    "critical": 2,
+    "discussion_participation": 3,
+    "discussion_trigger": 4,
+    "reference": 5
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

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special_tokens_map.json

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+{
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+    "lstrip": false,
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+    "lstrip": false,
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+    "single_word": false
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+}

tokenizer_config.json

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+{
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+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "errors": "replace",
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+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

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