VTSNLP/roberta_base

README.md

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+---
+license: apache-2.0
+base_model: distilbert/distilroberta-base
+tags:
+- generated_from_trainer
+model-index:
+- name: results
+  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. -->
+
+# results
+
+This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2147
+
+## 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: 200
+- num_epochs: 16
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.1553        | 1.0   | 1521  | 0.1512          |
+| 0.1561        | 2.0   | 3042  | 0.1484          |
+| 0.1344        | 3.0   | 4563  | 0.1497          |
+| 0.1119        | 4.0   | 6084  | 0.1551          |
+| 0.1117        | 5.0   | 7605  | 0.1640          |
+| 0.1095        | 6.0   | 9126  | 0.1729          |
+| 0.0714        | 7.0   | 10647 | 0.1871          |
+| 0.0617        | 8.0   | 12168 | 0.1950          |
+| 0.048         | 9.0   | 13689 | 0.2021          |
+| 0.0406        | 10.0  | 15210 | 0.2044          |
+| 0.0264        | 11.0  | 16731 | 0.2077          |
+| 0.0235        | 12.0  | 18252 | 0.2109          |
+| 0.0218        | 13.0  | 19773 | 0.2116          |
+| 0.0142        | 14.0  | 21294 | 0.2136          |
+| 0.0131        | 15.0  | 22815 | 0.2143          |
+| 0.0118        | 16.0  | 24336 | 0.2147          |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "distilbert/distilroberta-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": 6,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.40.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model.safetensors

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+size 328693404

training_args.bin

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