End of training

README.md

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+---
+library_name: transformers
+base_model: cardiffnlp/twitter-roberta-base-hate
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+model-index:
+- name: twitter-roberta-base-hate_69
+  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-hate_69
+
+This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-hate](https://huggingface.co/cardiffnlp/twitter-roberta-base-hate) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3841
+- F1-score: 0.8519
+- Accuracy: 0.8531
+- Precision: 0.8508
+- Recall: 0.8544
+
+## 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-06
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 69
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 6
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1-score | Accuracy | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:------:|
+| No log        | 1.0   | 180  | 0.3803          | 0.8198   | 0.8217   | 0.8189    | 0.8212 |
+| No log        | 2.0   | 360  | 0.3648          | 0.8346   | 0.8357   | 0.8338    | 0.8379 |
+| 0.3622        | 3.0   | 540  | 0.3787          | 0.8529   | 0.8531   | 0.8557    | 0.8603 |
+| 0.3622        | 4.0   | 720  | 0.3777          | 0.8408   | 0.8427   | 0.8401    | 0.8417 |
+| 0.3622        | 5.0   | 900  | 0.3768          | 0.8554   | 0.8566   | 0.8542    | 0.8575 |
+| 0.2436        | 6.0   | 1080 | 0.3841          | 0.8519   | 0.8531   | 0.8508    | 0.8544 |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

config.json

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+{
+  "_name_or_path": "cardiffnlp/twitter-roberta-base-hate",
+  "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": "NEG",
+    "1": "POS"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "NEG": 0,
+    "POS": 1
+  },
+  "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": "4.47.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model.safetensors

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+size 498612824

training_args.bin

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