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bge-small-en-v1.5-quality-weight-0.8

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bge-small-en-v1.5-2024-12-27_19-48-32

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  1. README.md +113 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: mit
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+ base_model: BAAI/bge-small-en-v1.5
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: bge-small-en-v1.5-2024-12-27_19-48-32-quality-weight-0.8
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # bge-small-en-v1.5-2024-12-27_19-48-32-quality-weight-0.8
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+
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+ This model is a fine-tuned version of [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0183
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+ - Spearman: 0.9303
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+ - Pearson: 0.9250
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+ - Mse: 0.0183
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - gradient_accumulation_steps: 64
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+ - total_train_batch_size: 256
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.05
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+ - num_epochs: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Spearman | Pearson | Mse |
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+ |:-------------:|:------:|:-----:|:---------------:|:--------:|:-------:|:------:|
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+ | 0.0329 | 0.0997 | 263 | 0.0340 | 0.8648 | 0.8560 | 0.0340 |
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+ | 0.0326 | 0.1994 | 526 | 0.0290 | 0.8849 | 0.8754 | 0.0290 |
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+ | 0.0398 | 0.2990 | 789 | 0.0273 | 0.8959 | 0.8855 | 0.0273 |
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+ | 0.0233 | 0.3987 | 1052 | 0.0269 | 0.9021 | 0.8945 | 0.0269 |
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+ | 0.0306 | 0.4984 | 1315 | 0.0245 | 0.9030 | 0.8966 | 0.0245 |
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+ | 0.0209 | 0.5981 | 1578 | 0.0238 | 0.9087 | 0.9016 | 0.0238 |
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+ | 0.0247 | 0.6978 | 1841 | 0.0225 | 0.9107 | 0.9045 | 0.0225 |
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+ | 0.0207 | 0.7975 | 2104 | 0.0219 | 0.9136 | 0.9073 | 0.0219 |
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+ | 0.0228 | 0.8971 | 2367 | 0.0216 | 0.9141 | 0.9092 | 0.0216 |
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+ | 0.0188 | 0.9968 | 2630 | 0.0209 | 0.9163 | 0.9123 | 0.0209 |
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+ | 0.0166 | 1.0963 | 2893 | 0.0206 | 0.9188 | 0.9135 | 0.0206 |
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+ | 0.0203 | 1.1960 | 3156 | 0.0215 | 0.9183 | 0.9142 | 0.0215 |
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+ | 0.0152 | 1.2956 | 3419 | 0.0205 | 0.9207 | 0.9160 | 0.0205 |
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+ | 0.0177 | 1.3953 | 3682 | 0.0204 | 0.9210 | 0.9163 | 0.0204 |
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+ | 0.0182 | 1.4950 | 3945 | 0.0209 | 0.9219 | 0.9177 | 0.0209 |
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+ | 0.0169 | 1.5947 | 4208 | 0.0200 | 0.9212 | 0.9181 | 0.0200 |
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+ | 0.0151 | 1.6944 | 4471 | 0.0194 | 0.9230 | 0.9194 | 0.0194 |
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+ | 0.0135 | 1.7940 | 4734 | 0.0200 | 0.9236 | 0.9192 | 0.0200 |
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+ | 0.0195 | 1.8937 | 4997 | 0.0200 | 0.9230 | 0.9195 | 0.0200 |
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+ | 0.018 | 1.9934 | 5260 | 0.0198 | 0.9241 | 0.9210 | 0.0198 |
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+ | 0.013 | 2.0929 | 5523 | 0.0196 | 0.9243 | 0.9204 | 0.0196 |
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+ | 0.0141 | 2.1925 | 5786 | 0.0198 | 0.9260 | 0.9216 | 0.0198 |
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+ | 0.0161 | 2.2922 | 6049 | 0.0193 | 0.9261 | 0.9214 | 0.0193 |
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+ | 0.0158 | 2.3919 | 6312 | 0.0188 | 0.9250 | 0.9218 | 0.0188 |
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+ | 0.0166 | 2.4916 | 6575 | 0.0190 | 0.9272 | 0.9235 | 0.0190 |
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+ | 0.0155 | 2.5913 | 6838 | 0.0185 | 0.9262 | 0.9233 | 0.0185 |
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+ | 0.0122 | 2.6910 | 7101 | 0.0187 | 0.9270 | 0.9238 | 0.0187 |
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+ | 0.015 | 2.7906 | 7364 | 0.0186 | 0.9270 | 0.9238 | 0.0186 |
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+ | 0.019 | 2.8903 | 7627 | 0.0189 | 0.9270 | 0.9245 | 0.0189 |
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+ | 0.0103 | 2.9900 | 7890 | 0.0187 | 0.9283 | 0.9253 | 0.0187 |
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+ | 0.0139 | 3.0894 | 8153 | 0.0184 | 0.9281 | 0.9256 | 0.0184 |
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+ | 0.0149 | 3.1891 | 8416 | 0.0187 | 0.9282 | 0.9242 | 0.0187 |
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+ | 0.0148 | 3.2888 | 8679 | 0.0180 | 0.9287 | 0.9256 | 0.0180 |
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+ | 0.0163 | 3.3885 | 8942 | 0.0183 | 0.9283 | 0.9249 | 0.0183 |
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+ | 0.0097 | 3.4882 | 9205 | 0.0184 | 0.9292 | 0.9257 | 0.0184 |
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+ | 0.0115 | 3.5879 | 9468 | 0.0190 | 0.9292 | 0.9256 | 0.0190 |
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+ | 0.0157 | 3.6875 | 9731 | 0.0177 | 0.9295 | 0.9265 | 0.0177 |
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+ | 0.0105 | 3.7872 | 9994 | 0.0180 | 0.9296 | 0.9265 | 0.0180 |
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+ | 0.013 | 3.8869 | 10257 | 0.0178 | 0.9294 | 0.9265 | 0.0178 |
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+ | 0.0119 | 3.9866 | 10520 | 0.0178 | 0.9298 | 0.9269 | 0.0178 |
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+ | 0.011 | 4.0860 | 10783 | 0.0181 | 0.9298 | 0.9266 | 0.0181 |
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+ | 0.01 | 4.1857 | 11046 | 0.0181 | 0.9298 | 0.9263 | 0.0181 |
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+ | 0.0119 | 4.2854 | 11309 | 0.0179 | 0.9298 | 0.9265 | 0.0179 |
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+ | 0.015 | 4.3851 | 11572 | 0.0181 | 0.9297 | 0.9264 | 0.0181 |
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+ | 0.0095 | 4.4848 | 11835 | 0.0180 | 0.9299 | 0.9268 | 0.0180 |
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+ | 0.0104 | 4.5845 | 12098 | 0.0180 | 0.9300 | 0.9267 | 0.0180 |
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+ | 0.0095 | 4.6841 | 12361 | 0.0181 | 0.9299 | 0.9266 | 0.0181 |
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+ | 0.0104 | 4.7838 | 12624 | 0.0181 | 0.9300 | 0.9267 | 0.0181 |
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+ | 0.0112 | 4.8835 | 12887 | 0.0180 | 0.9300 | 0.9267 | 0.0180 |
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+ | 0.0114 | 4.9832 | 13150 | 0.0180 | 0.9300 | 0.9267 | 0.0180 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.47.0
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 2.19.2
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+ - Tokenizers 0.21.0
config.json ADDED
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+ {
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+ "_name_or_path": "BAAI/bge-small-en-v1.5",
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 384,
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+ "id2label": {
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+ "0": "LABEL_0"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 1536,
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+ "label2id": {
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+ "LABEL_0": 0
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
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+ "problem_type": "regression",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.47.0",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 30522
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+ }
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