End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: roberta-base
+tags:
+- generated_from_trainer
+model-index:
+- name: roberta-base_environmental_claims
+  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. -->
+
+# roberta-base_environmental_claims
+
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4015
+
+## 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
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.3333        | 1.0   | 133  | 0.4844          |
+| 0.3429        | 2.0   | 266  | 0.4015          |
+| 0.3122        | 3.0   | 399  | 0.6850          |
+| 0.1914        | 4.0   | 532  | 0.6587          |
+| 0.2417        | 5.0   | 665  | 0.5776          |
+| 0.1458        | 6.0   | 798  | 0.6259          |
+| 0.1755        | 7.0   | 931  | 0.6392          |
+| 0.0664        | 8.0   | 1064 | 0.8447          |
+| 0.0299        | 9.0   | 1197 | 0.7466          |
+| 0.138         | 10.0  | 1330 | 0.6908          |
+| 0.0935        | 11.0  | 1463 | 0.8548          |
+| 0.0002        | 12.0  | 1596 | 0.7000          |
+| 0.119         | 13.0  | 1729 | 1.2066          |
+| 0.0001        | 14.0  | 1862 | 1.1844          |
+| 0.0003        | 15.0  | 1995 | 0.7856          |
+| 0.0001        | 16.0  | 2128 | 0.8803          |
+| 0.0           | 17.0  | 2261 | 0.9005          |
+| 0.0           | 18.0  | 2394 | 0.9338          |
+| 0.0           | 19.0  | 2527 | 0.9946          |
+| 0.1325        | 20.0  | 2660 | 0.7678          |
+| 0.0001        | 21.0  | 2793 | 0.5737          |
+| 0.0005        | 22.0  | 2926 | 1.0396          |
+| 0.0855        | 23.0  | 3059 | 0.7681          |
+| 0.0           | 24.0  | 3192 | 1.0212          |
+| 0.0856        | 25.0  | 3325 | 1.0275          |
+| 0.0           | 26.0  | 3458 | 0.7531          |
+| 0.0           | 27.0  | 3591 | 0.7814          |
+| 0.0           | 28.0  | 3724 | 0.8142          |
+| 0.0           | 29.0  | 3857 | 1.4194          |
+| 0.0           | 30.0  | 3990 | 1.1039          |
+| 0.0           | 31.0  | 4123 | 1.2294          |
+| 0.0           | 32.0  | 4256 | 1.1357          |
+| 0.0           | 33.0  | 4389 | 0.9818          |
+| 0.0           | 34.0  | 4522 | 0.9881          |
+| 0.0           | 35.0  | 4655 | 0.9947          |
+| 0.0           | 36.0  | 4788 | 1.0028          |
+| 0.0           | 37.0  | 4921 | 1.0100          |
+| 0.0           | 38.0  | 5054 | 1.0038          |
+| 0.0           | 39.0  | 5187 | 1.0115          |
+| 0.1009        | 40.0  | 5320 | 1.0044          |
+| 0.0           | 41.0  | 5453 | 1.5468          |
+| 0.1724        | 42.0  | 5586 | 1.0918          |
+| 0.0           | 43.0  | 5719 | 1.4838          |
+| 0.0           | 44.0  | 5852 | 1.3071          |
+| 0.0           | 45.0  | 5985 | 1.3350          |
+| 0.0           | 46.0  | 6118 | 1.3400          |
+| 0.0           | 47.0  | 6251 | 1.3331          |
+| 0.0           | 48.0  | 6384 | 1.3265          |
+| 0.0           | 49.0  | 6517 | 1.2641          |
+| 0.0           | 50.0  | 6650 | 1.2638          |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.5.0+cu121
+- Datasets 3.0.2
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "roberta-base",
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "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,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "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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+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
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+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
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+  "clean_up_tokenization_spaces": true,
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+  "eos_token": "</s>",
+  "errors": "replace",
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

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