End of training

README.md

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+---
+license: mit
+base_model: roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: contradictions_model
+  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. -->
+
+# contradictions_model
+
+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: 1.0972
+- Accuracy: 0.3490
+
+## 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: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.0973        | 0.07  | 100  | 1.0970          | 0.3490   |
+| 1.0944        | 0.15  | 200  | 1.1089          | 0.3490   |
+| 1.1024        | 0.22  | 300  | 1.0973          | 0.3490   |
+| 1.0979        | 0.29  | 400  | 1.1086          | 0.3490   |
+| 1.0933        | 0.37  | 500  | 1.0976          | 0.3490   |
+| 1.0971        | 0.44  | 600  | 1.0973          | 0.3490   |
+| 1.0908        | 0.51  | 700  | 1.0974          | 0.3490   |
+| 1.0932        | 0.59  | 800  | 1.1078          | 0.3020   |
+| 1.1203        | 0.66  | 900  | 1.0982          | 0.3490   |
+| 1.0912        | 0.73  | 1000 | 1.1030          | 0.3490   |
+| 1.0954        | 0.81  | 1100 | 1.1185          | 0.3020   |
+| 1.1193        | 0.88  | 1200 | 1.0988          | 0.3490   |
+| 1.097         | 0.95  | 1300 | 1.0965          | 0.3490   |
+| 1.1098        | 1.03  | 1400 | 1.1006          | 0.3490   |
+| 1.0967        | 1.1   | 1500 | 1.0981          | 0.3490   |
+| 1.1007        | 1.17  | 1600 | 1.0971          | 0.3490   |
+| 1.0983        | 1.25  | 1700 | 1.0985          | 0.3490   |
+| 1.1033        | 1.32  | 1800 | 1.0996          | 0.3490   |
+| 1.1333        | 1.39  | 1900 | 1.0964          | 0.3490   |
+| 1.0982        | 1.47  | 2000 | 1.1024          | 0.3020   |
+| 1.1039        | 1.54  | 2100 | 1.0985          | 0.3490   |
+| 1.1038        | 1.61  | 2200 | 1.1003          | 0.3020   |
+| 1.0974        | 1.69  | 2300 | 1.0988          | 0.3490   |
+| 1.0914        | 1.76  | 2400 | 1.0979          | 0.3490   |
+| 1.0933        | 1.83  | 2500 | 1.0976          | 0.3490   |
+| 1.0988        | 1.91  | 2600 | 1.0971          | 0.3490   |
+| 1.09          | 1.98  | 2700 | 1.0972          | 0.3490   |
+
+
+### Framework versions
+
+- Transformers 4.39.1
+- Pytorch 2.2.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

@@ -0,0 +1,38 @@
+{
+  "_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,
+  "id2label": {
+    "0": "entailment",
+    "1": "neutral",
+    "2": "contradiction"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "contradiction": 2,
+    "entailment": 0,
+    "neutral": 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": "4.39.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:84872c37f7b686f808fc7ebad20eed2e25e033fb37918469a9cf7fd4a0236ad8
+size 498615900

special_tokens_map.json

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+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "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,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "<mask>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "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>"
+}

training_args.bin

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+oid sha256:b9e5e206c0844fc7c250b5f64df8172044ff381a55e3680094ecbc44f4005822
+size 4856