End of training

README.md

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+---
+license: mit
+base_model: roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: roberta-base-riddle-finetuned_new
+  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-riddle-finetuned_new
+
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3192
+- Accuracy: 0.8500
+
+## 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: 0.0005
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 30
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 23   | 0.4749          | 0.75     |
+| No log        | 2.0   | 46   | 0.4396          | 0.7750   |
+| No log        | 3.0   | 69   | 0.4988          | 0.7750   |
+| No log        | 4.0   | 92   | 0.4534          | 0.8000   |
+| No log        | 5.0   | 115  | 0.4505          | 0.8250   |
+| No log        | 6.0   | 138  | 0.4108          | 0.8250   |
+| No log        | 7.0   | 161  | 0.4701          | 0.8000   |
+| No log        | 8.0   | 184  | 0.4327          | 0.8250   |
+| No log        | 9.0   | 207  | 0.5293          | 0.8000   |
+| No log        | 10.0  | 230  | 0.5596          | 0.7750   |
+| No log        | 11.0  | 253  | 0.4872          | 0.9000   |
+| No log        | 12.0  | 276  | 0.3860          | 0.8500   |
+| No log        | 13.0  | 299  | 0.4549          | 0.9000   |
+| No log        | 14.0  | 322  | 0.4340          | 0.8250   |
+| No log        | 15.0  | 345  | 0.4540          | 0.7750   |
+| No log        | 16.0  | 368  | 0.5259          | 0.75     |
+| No log        | 17.0  | 391  | 0.3192          | 0.8500   |
+| No log        | 18.0  | 414  | 0.3699          | 0.875    |
+| No log        | 19.0  | 437  | 0.3577          | 0.875    |
+| No log        | 20.0  | 460  | 0.4405          | 0.8250   |
+| No log        | 21.0  | 483  | 0.5207          | 0.8250   |
+| 0.1396        | 22.0  | 506  | 0.4686          | 0.8000   |
+| 0.1396        | 23.0  | 529  | 0.4614          | 0.875    |
+| 0.1396        | 24.0  | 552  | 0.4442          | 0.8250   |
+| 0.1396        | 25.0  | 575  | 0.4242          | 0.8250   |
+| 0.1396        | 26.0  | 598  | 0.4943          | 0.8000   |
+| 0.1396        | 27.0  | 621  | 0.4973          | 0.8500   |
+| 0.1396        | 28.0  | 644  | 0.4542          | 0.875    |
+| 0.1396        | 29.0  | 667  | 0.4671          | 0.875    |
+| 0.1396        | 30.0  | 690  | 0.4679          | 0.875    |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 1.13.1+cu117
+- Datasets 2.16.1
+- Tokenizers 0.15.0

config.json

@@ -0,0 +1,27 @@
+{
+  "_name_or_path": "roberta-base",
+  "architectures": [
+    "RobertaForMultipleChoice"
+  ],
+  "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",
+  "torch_dtype": "float32",
+  "transformers_version": "4.36.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model.safetensors

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+oid sha256:c6b278e98c0a756838e5cba2f200c2e281724b0e7e8259e44b234769f1af74a2
+size 499796292

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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