End of training

README.md

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+---
+license: apache-2.0
+base_model: poom-sci/WangchanBERTa-finetuned-sentiment
+tags:
+- generated_from_trainer
+model-index:
+- name: fined-tune-thai-sentiment
+  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. -->
+
+# fined-tune-thai-sentiment
+
+This model is a fine-tuned version of [poom-sci/WangchanBERTa-finetuned-sentiment](https://huggingface.co/poom-sci/WangchanBERTa-finetuned-sentiment) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.5924
+- eval_accuracy: {'accuracy': 0.8717948717948718}
+- eval_f1score: {'f1': 0.8624708624708624}
+- eval_runtime: 1.7476
+- eval_samples_per_second: 22.316
+- eval_steps_per_second: 2.861
+- step: 0
+
+## 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: 2e-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: 26
+- num_epochs: 7
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "poom-sci/WangchanBERTa-finetuned-sentiment",
+  "architectures": [
+    "CamembertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "pos",
+    "1": "neu",
+    "2": "neg"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "neg": 2,
+    "neu": 1,
+    "pos": 0
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "camembert",
+  "num_attention_head": 12,
+  "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": "4.40.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 25005
+}

model.safetensors

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runs/May20_00-59-36_8573fd6c6ae7/events.out.tfevents.1716166785.8573fd6c6ae7.821.0

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sentencepiece.bpe.model

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special_tokens_map.json

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+}

tokenizer_config.json

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+  "max_length": 510,
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+  "tokenizer_class": "CamembertTokenizer",
+  "truncation_side": "right",
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+}

training_args.bin

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