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: GenZ-mental-health-toxic-content-classification-v2
+  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. -->
+
+# GenZ-mental-health-toxic-content-classification-v2
+
+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: 0.7329
+- Accuracy: 0.8816
+- F1: 0.8088
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch   | Step  | Validation Loss | Accuracy | F1     |
+|:-------------:|:-------:|:-----:|:---------------:|:--------:|:------:|
+| No log        | 0.2558  | 200   | 0.3588          | 0.8499   | 0.7643 |
+| No log        | 0.5115  | 400   | 0.3447          | 0.8649   | 0.7834 |
+| No log        | 0.7673  | 600   | 0.3380          | 0.8740   | 0.7832 |
+| 0.3661        | 1.0230  | 800   | 0.3297          | 0.8771   | 0.8042 |
+| 0.3661        | 1.2788  | 1000  | 0.2997          | 0.8829   | 0.8085 |
+| 0.3661        | 1.5345  | 1200  | 0.3038          | 0.8841   | 0.7980 |
+| 0.3661        | 1.7903  | 1400  | 0.3058          | 0.8859   | 0.8110 |
+| 0.2685        | 2.0460  | 1600  | 0.3259          | 0.8867   | 0.8171 |
+| 0.2685        | 2.3018  | 1800  | 0.3194          | 0.8861   | 0.8086 |
+| 0.2685        | 2.5575  | 2000  | 0.3328          | 0.8792   | 0.8137 |
+| 0.2685        | 2.8133  | 2200  | 0.3462          | 0.8823   | 0.7894 |
+| 0.2176        | 3.0691  | 2400  | 0.4151          | 0.8867   | 0.8209 |
+| 0.2176        | 3.3248  | 2600  | 0.3727          | 0.8830   | 0.8129 |
+| 0.2176        | 3.5806  | 2800  | 0.3754          | 0.8807   | 0.8126 |
+| 0.2176        | 3.8363  | 3000  | 0.3496          | 0.8905   | 0.8229 |
+| 0.1825        | 4.0921  | 3200  | 0.4204          | 0.8839   | 0.8058 |
+| 0.1825        | 4.3478  | 3400  | 0.4341          | 0.8890   | 0.8129 |
+| 0.1825        | 4.6036  | 3600  | 0.3610          | 0.8908   | 0.8166 |
+| 0.1825        | 4.8593  | 3800  | 0.3546          | 0.8883   | 0.8143 |
+| 0.1592        | 5.1151  | 4000  | 0.4929          | 0.8740   | 0.8073 |
+| 0.1592        | 5.3708  | 4200  | 0.4861          | 0.8865   | 0.8029 |
+| 0.1592        | 5.6266  | 4400  | 0.4340          | 0.8856   | 0.8162 |
+| 0.1592        | 5.8824  | 4600  | 0.4357          | 0.8724   | 0.8038 |
+| 0.1375        | 6.1381  | 4800  | 0.4334          | 0.8885   | 0.8157 |
+| 0.1375        | 6.3939  | 5000  | 0.4724          | 0.8760   | 0.8083 |
+| 0.1375        | 6.6496  | 5200  | 0.4504          | 0.8899   | 0.8162 |
+| 0.1375        | 6.9054  | 5400  | 0.3867          | 0.8854   | 0.8096 |
+| 0.1255        | 7.1611  | 5600  | 0.5133          | 0.8756   | 0.8070 |
+| 0.1255        | 7.4169  | 5800  | 0.4806          | 0.8883   | 0.8163 |
+| 0.1255        | 7.6726  | 6000  | 0.4748          | 0.8816   | 0.8114 |
+| 0.1255        | 7.9284  | 6200  | 0.5101          | 0.8803   | 0.8084 |
+| 0.115         | 8.1841  | 6400  | 0.5017          | 0.8832   | 0.8068 |
+| 0.115         | 8.4399  | 6600  | 0.4820          | 0.8823   | 0.8041 |
+| 0.115         | 8.6957  | 6800  | 0.5131          | 0.8865   | 0.8089 |
+| 0.115         | 8.9514  | 7000  | 0.4742          | 0.8858   | 0.8145 |
+| 0.1005        | 9.2072  | 7200  | 0.5905          | 0.8870   | 0.8108 |
+| 0.1005        | 9.4629  | 7400  | 0.5393          | 0.8796   | 0.8067 |
+| 0.1005        | 9.7187  | 7600  | 0.5595          | 0.8776   | 0.8077 |
+| 0.1005        | 9.9744  | 7800  | 0.5101          | 0.8859   | 0.8079 |
+| 0.0918        | 10.2302 | 8000  | 0.6249          | 0.8781   | 0.8067 |
+| 0.0918        | 10.4859 | 8200  | 0.5490          | 0.8825   | 0.8077 |
+| 0.0918        | 10.7417 | 8400  | 0.5394          | 0.8769   | 0.8040 |
+| 0.0818        | 10.9974 | 8600  | 0.6048          | 0.8807   | 0.8099 |
+| 0.0818        | 11.2532 | 8800  | 0.5951          | 0.8745   | 0.8011 |
+| 0.0818        | 11.5090 | 9000  | 0.6220          | 0.8819   | 0.8077 |
+| 0.0818        | 11.7647 | 9200  | 0.6505          | 0.8785   | 0.8063 |
+| 0.078         | 12.0205 | 9400  | 0.6327          | 0.8785   | 0.8048 |
+| 0.078         | 12.2762 | 9600  | 0.6260          | 0.8796   | 0.8084 |
+| 0.078         | 12.5320 | 9800  | 0.5645          | 0.8800   | 0.8075 |
+| 0.078         | 12.7877 | 10000 | 0.6264          | 0.8823   | 0.8083 |
+| 0.071         | 13.0435 | 10200 | 0.6611          | 0.8798   | 0.8118 |
+| 0.071         | 13.2992 | 10400 | 0.6474          | 0.8845   | 0.8125 |
+| 0.071         | 13.5550 | 10600 | 0.6508          | 0.8819   | 0.8125 |
+| 0.071         | 13.8107 | 10800 | 0.6394          | 0.8823   | 0.8089 |
+| 0.0652        | 14.0665 | 11000 | 0.6261          | 0.8783   | 0.8069 |
+| 0.0652        | 14.3223 | 11200 | 0.6541          | 0.8809   | 0.8070 |
+| 0.0652        | 14.5780 | 11400 | 0.7019          | 0.8778   | 0.8088 |
+| 0.0652        | 14.8338 | 11600 | 0.6469          | 0.8830   | 0.8091 |
+| 0.0606        | 15.0895 | 11800 | 0.7078          | 0.8767   | 0.8049 |
+| 0.0606        | 15.3453 | 12000 | 0.6889          | 0.8809   | 0.8070 |
+| 0.0606        | 15.6010 | 12200 | 0.7316          | 0.8787   | 0.8090 |
+| 0.0606        | 15.8568 | 12400 | 0.6827          | 0.8801   | 0.8033 |
+| 0.0575        | 16.1125 | 12600 | 0.7547          | 0.8812   | 0.8094 |
+| 0.0575        | 16.3683 | 12800 | 0.7358          | 0.8825   | 0.8055 |
+| 0.0575        | 16.6240 | 13000 | 0.7128          | 0.8794   | 0.8045 |
+| 0.0575        | 16.8798 | 13200 | 0.7322          | 0.8818   | 0.8061 |
+| 0.054         | 17.1355 | 13400 | 0.7335          | 0.8814   | 0.8072 |
+| 0.054         | 17.3913 | 13600 | 0.7275          | 0.8818   | 0.8058 |
+| 0.054         | 17.6471 | 13800 | 0.7316          | 0.8810   | 0.8063 |
+| 0.054         | 17.9028 | 14000 | 0.7090          | 0.8823   | 0.8056 |
+| 0.052         | 18.1586 | 14200 | 0.7444          | 0.8781   | 0.8051 |
+| 0.052         | 18.4143 | 14400 | 0.7201          | 0.8810   | 0.8066 |
+| 0.052         | 18.6701 | 14600 | 0.7200          | 0.8825   | 0.8103 |
+| 0.052         | 18.9258 | 14800 | 0.7259          | 0.8800   | 0.8073 |
+| 0.049         | 19.1816 | 15000 | 0.7419          | 0.8830   | 0.8085 |
+| 0.049         | 19.4373 | 15200 | 0.7344          | 0.8823   | 0.8085 |
+| 0.049         | 19.6931 | 15400 | 0.7400          | 0.8816   | 0.8085 |
+| 0.049         | 19.9488 | 15600 | 0.7329          | 0.8816   | 0.8088 |
+
+
+### Framework versions
+
+- Transformers 4.44.0
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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": "4.44.0",
+  "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 sha256:5a903dcabbfe05a066c91528bd87cb97c93ac2108fd4cc321a7f6c59845b1273
+size 540023384

special_tokens_map.json

@@ -0,0 +1,9 @@
+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": "<mask>",
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

@@ -0,0 +1,54 @@
+{
+  "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:cf75042925b9a2e45417abe3aa7da0c372e76fa5edef5d5e34d3f1b911feff9b
+size 5176