delirium_roberta

README.md

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+---
+base_model: allenai/biomed_roberta_base
+tags:
+- generated_from_trainer
+model-index:
+- name: delirium_roberta
+  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. -->
+
+# delirium_roberta
+
+This model is a fine-tuned version of [allenai/biomed_roberta_base](https://huggingface.co/allenai/biomed_roberta_base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3709
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- lr_scheduler_warmup_steps: 100
+- training_steps: 4000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.2088        | 0.4   | 100  | 0.8023          |
+| 0.8075        | 0.8   | 200  | 0.7029          |
+| 0.7404        | 1.2   | 300  | 0.6575          |
+| 0.6826        | 1.6   | 400  | 0.6096          |
+| 0.6578        | 2.0   | 500  | 0.5995          |
+| 0.6525        | 2.4   | 600  | 0.5834          |
+| 0.6223        | 2.8   | 700  | 0.5650          |
+| 0.6           | 3.2   | 800  | 0.5464          |
+| 0.5807        | 3.6   | 900  | 0.5312          |
+| 0.5963        | 4.0   | 1000 | 0.5233          |
+| 0.584         | 4.4   | 1100 | 0.5154          |
+| 0.5508        | 4.8   | 1200 | 0.5049          |
+| 0.5609        | 5.2   | 1300 | 0.4960          |
+| 0.5397        | 5.6   | 1400 | 0.4851          |
+| 0.5401        | 6.0   | 1500 | 0.4805          |
+| 0.513         | 6.4   | 1600 | 0.4690          |
+| 0.5247        | 6.8   | 1700 | 0.4647          |
+| 0.5228        | 7.2   | 1800 | 0.4607          |
+| 0.5142        | 7.6   | 1900 | 0.4534          |
+| 0.5055        | 8.0   | 2000 | 0.4428          |
+| 0.4942        | 8.4   | 2100 | 0.4338          |
+| 0.4895        | 8.8   | 2200 | 0.4336          |
+| 0.4874        | 9.2   | 2300 | 0.4221          |
+| 0.4744        | 9.6   | 2400 | 0.4234          |
+| 0.4743        | 10.0  | 2500 | 0.4139          |
+| 0.4816        | 10.4  | 2600 | 0.4090          |
+| 0.4733        | 10.8  | 2700 | 0.4077          |
+| 0.4419        | 11.2  | 2800 | 0.4035          |
+| 0.4552        | 11.6  | 2900 | 0.3989          |
+| 0.4467        | 12.0  | 3000 | 0.3913          |
+| 0.45          | 12.4  | 3100 | 0.3884          |
+| 0.4551        | 12.8  | 3200 | 0.3864          |
+| 0.4247        | 13.2  | 3300 | 0.3786          |
+| 0.4432        | 13.6  | 3400 | 0.3874          |
+| 0.4086        | 14.0  | 3500 | 0.3776          |
+| 0.4308        | 14.4  | 3600 | 0.3711          |
+| 0.4293        | 14.8  | 3700 | 0.3763          |
+| 0.4235        | 15.2  | 3800 | 0.3733          |
+| 0.4138        | 15.6  | 3900 | 0.3758          |
+| 0.4156        | 16.0  | 4000 | 0.3709          |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.1

added_tokens.json

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+{
+  "</s>": 2,
+  "<mask>": 50264,
+  "<pad>": 1,
+  "<s>": 0,
+  "<unk>": 3
+}

config.json

@@ -0,0 +1,27 @@
+{
+  "_name_or_path": "allenai/biomed_roberta_base",
+  "architectures": [
+    "RobertaForMaskedLM"
+  ],
+  "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": "4.34.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
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+size 498859189

special_tokens_map.json

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+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": "<mask>",
+  "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
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "errors": "replace",
+  "mask_token": "<mask>",
+  "max_len": 512,
+  "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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