End of training

README.md

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+---
+base_model: vinai/phobert-base-v2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: phobert-base-v2-finetuned
+  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. -->
+
+# phobert-base-v2-finetuned
+
+This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2607
+- Accuracy: 0.9313
+- F1: 0.9314
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 0.14  | 50   | 0.3460          | 0.8654   | 0.8639 |
+| No log        | 0.28  | 100  | 0.2611          | 0.9033   | 0.9035 |
+| No log        | 0.42  | 150  | 0.2825          | 0.8966   | 0.8961 |
+| No log        | 0.56  | 200  | 0.2262          | 0.9151   | 0.9150 |
+| No log        | 0.69  | 250  | 0.2160          | 0.9229   | 0.9228 |
+| No log        | 0.83  | 300  | 0.2157          | 0.9251   | 0.9251 |
+| No log        | 0.97  | 350  | 0.1977          | 0.9285   | 0.9286 |
+| 0.269         | 1.11  | 400  | 0.1978          | 0.9282   | 0.9283 |
+| 0.269         | 1.25  | 450  | 0.2184          | 0.9165   | 0.9167 |
+| 0.269         | 1.39  | 500  | 0.2304          | 0.9181   | 0.9184 |
+| 0.269         | 1.53  | 550  | 0.2064          | 0.9251   | 0.9253 |
+| 0.269         | 1.67  | 600  | 0.2292          | 0.9151   | 0.9153 |
+| 0.269         | 1.81  | 650  | 0.2346          | 0.9108   | 0.9111 |
+| 0.269         | 1.94  | 700  | 0.1849          | 0.9364   | 0.9364 |
+| 0.1835        | 2.08  | 750  | 0.1930          | 0.9330   | 0.9330 |
+| 0.1835        | 2.22  | 800  | 0.1949          | 0.9305   | 0.9306 |
+| 0.1835        | 2.36  | 850  | 0.1897          | 0.9313   | 0.9314 |
+| 0.1835        | 2.5   | 900  | 0.1932          | 0.9333   | 0.9334 |
+| 0.1835        | 2.64  | 950  | 0.2051          | 0.9274   | 0.9275 |
+| 0.1835        | 2.78  | 1000 | 0.1963          | 0.9344   | 0.9344 |
+| 0.1835        | 2.92  | 1050 | 0.1953          | 0.9358   | 0.9360 |
+| 0.1527        | 3.06  | 1100 | 0.2148          | 0.9350   | 0.9349 |
+| 0.1527        | 3.19  | 1150 | 0.2140          | 0.9260   | 0.9262 |
+| 0.1527        | 3.33  | 1200 | 0.1991          | 0.9280   | 0.9281 |
+| 0.1527        | 3.47  | 1250 | 0.1988          | 0.9366   | 0.9368 |
+| 0.1527        | 3.61  | 1300 | 0.2046          | 0.9302   | 0.9304 |
+| 0.1527        | 3.75  | 1350 | 0.1940          | 0.9299   | 0.9299 |
+| 0.1527        | 3.89  | 1400 | 0.1937          | 0.9352   | 0.9353 |
+| 0.1261        | 4.03  | 1450 | 0.1993          | 0.9366   | 0.9367 |
+| 0.1261        | 4.17  | 1500 | 0.2043          | 0.9319   | 0.9319 |
+| 0.1261        | 4.31  | 1550 | 0.1983          | 0.9355   | 0.9356 |
+| 0.1261        | 4.44  | 1600 | 0.2293          | 0.9294   | 0.9295 |
+| 0.1261        | 4.58  | 1650 | 0.1937          | 0.9344   | 0.9344 |
+| 0.1261        | 4.72  | 1700 | 0.2198          | 0.9274   | 0.9276 |
+| 0.1261        | 4.86  | 1750 | 0.2040          | 0.9327   | 0.9329 |
+| 0.1063        | 5.0   | 1800 | 0.2051          | 0.9319   | 0.9320 |
+| 0.1063        | 5.14  | 1850 | 0.2170          | 0.9350   | 0.9350 |
+| 0.1063        | 5.28  | 1900 | 0.2542          | 0.9277   | 0.9279 |
+| 0.1063        | 5.42  | 1950 | 0.2095          | 0.9324   | 0.9326 |
+| 0.1063        | 5.56  | 2000 | 0.2350          | 0.9282   | 0.9284 |
+| 0.1063        | 5.69  | 2050 | 0.2535          | 0.9251   | 0.9254 |
+| 0.1063        | 5.83  | 2100 | 0.2128          | 0.9344   | 0.9344 |
+| 0.1063        | 5.97  | 2150 | 0.2063          | 0.9313   | 0.9315 |
+| 0.0906        | 6.11  | 2200 | 0.2357          | 0.9313   | 0.9314 |
+| 0.0906        | 6.25  | 2250 | 0.2437          | 0.9358   | 0.9358 |
+| 0.0906        | 6.39  | 2300 | 0.2370          | 0.9322   | 0.9323 |
+| 0.0906        | 6.53  | 2350 | 0.2223          | 0.9316   | 0.9317 |
+| 0.0906        | 6.67  | 2400 | 0.2318          | 0.9375   | 0.9375 |
+| 0.0906        | 6.81  | 2450 | 0.2365          | 0.9361   | 0.9362 |
+| 0.0906        | 6.94  | 2500 | 0.2293          | 0.9364   | 0.9364 |
+| 0.0785        | 7.08  | 2550 | 0.2355          | 0.9350   | 0.9350 |
+| 0.0785        | 7.22  | 2600 | 0.2516          | 0.9378   | 0.9378 |
+| 0.0785        | 7.36  | 2650 | 0.2607          | 0.9308   | 0.9309 |
+| 0.0785        | 7.5   | 2700 | 0.2809          | 0.9271   | 0.9273 |
+| 0.0785        | 7.64  | 2750 | 0.2436          | 0.9322   | 0.9322 |
+| 0.0785        | 7.78  | 2800 | 0.2623          | 0.9302   | 0.9304 |
+| 0.0785        | 7.92  | 2850 | 0.2245          | 0.9361   | 0.9361 |
+| 0.0649        | 8.06  | 2900 | 0.2318          | 0.9316   | 0.9317 |
+| 0.0649        | 8.19  | 2950 | 0.2465          | 0.9316   | 0.9317 |
+| 0.0649        | 8.33  | 3000 | 0.2449          | 0.9336   | 0.9336 |
+| 0.0649        | 8.47  | 3050 | 0.2480          | 0.9347   | 0.9347 |
+| 0.0649        | 8.61  | 3100 | 0.2499          | 0.9336   | 0.9337 |
+| 0.0649        | 8.75  | 3150 | 0.2563          | 0.9344   | 0.9345 |
+| 0.0649        | 8.89  | 3200 | 0.2610          | 0.9319   | 0.9320 |
+| 0.0601        | 9.03  | 3250 | 0.2693          | 0.9305   | 0.9306 |
+| 0.0601        | 9.17  | 3300 | 0.2795          | 0.9291   | 0.9292 |
+| 0.0601        | 9.31  | 3350 | 0.2658          | 0.9308   | 0.9309 |
+| 0.0601        | 9.44  | 3400 | 0.2625          | 0.9308   | 0.9309 |
+| 0.0601        | 9.58  | 3450 | 0.2602          | 0.9313   | 0.9314 |
+| 0.0601        | 9.72  | 3500 | 0.2658          | 0.9305   | 0.9306 |
+| 0.0601        | 9.86  | 3550 | 0.2641          | 0.9308   | 0.9309 |
+| 0.0529        | 10.0  | 3600 | 0.2607          | 0.9313   | 0.9314 |
+
+
+### Framework versions
+
+- Transformers 4.39.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

added_tokens.json

@@ -0,0 +1,3 @@
+{
+  "<mask>": 64000
+}

config.json

@@ -0,0 +1,29 @@
+{
+  "_name_or_path": "vinai/phobert-base-v2",
+  "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,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 258,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "tokenizer_class": "PhobertTokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 64001
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c4de3dc11250be95290a0fe7c847bc93b375730f3fbfc319232580889a26d1c8
+size 540023384

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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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "64000": {
+      "content": "<mask>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": "<mask>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "PhobertTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:52336b459e9e08799664c4dcbf6ff7e996941719d704f97e964e8ca1ef59f355
+size 4856