End of training
Browse files- .gitattributes +1 -0
- README.md +78 -0
- config.json +35 -0
- model.safetensors +3 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +51 -0
- tokenizer.json +3 -0
- tokenizer_config.json +56 -0
- training_args.bin +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model: yihongLiu/furina
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tags:
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- generated_from_trainer
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model-index:
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- name: furina_seed42_eng_amh_hau_cross_5e-06
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results: []
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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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# furina_seed42_eng_amh_hau_cross_5e-06
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This model is a fine-tuned version of [yihongLiu/furina](https://huggingface.co/yihongLiu/furina) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0212
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- Spearman Corr: 0.7804
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-06
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- train_batch_size: 32
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- eval_batch_size: 128
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 30
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Spearman Corr |
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|:-------------:|:-----:|:----:|:---------------:|:-------------:|
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| No log | 0.52 | 200 | 0.0431 | 0.2948 |
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| No log | 1.04 | 400 | 0.0295 | 0.6292 |
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| No log | 1.55 | 600 | 0.0256 | 0.6932 |
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| 0.0687 | 2.07 | 800 | 0.0237 | 0.7162 |
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| 0.0687 | 2.59 | 1000 | 0.0237 | 0.7313 |
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| 0.0687 | 3.11 | 1200 | 0.0231 | 0.7308 |
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| 0.0687 | 3.63 | 1400 | 0.0222 | 0.7511 |
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| 0.0309 | 4.15 | 1600 | 0.0218 | 0.7502 |
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| 0.0309 | 4.66 | 1800 | 0.0218 | 0.7596 |
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| 0.0309 | 5.18 | 2000 | 0.0210 | 0.7642 |
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| 0.0309 | 5.7 | 2200 | 0.0203 | 0.7723 |
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| 0.0268 | 6.22 | 2400 | 0.0207 | 0.7731 |
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| 0.0268 | 6.74 | 2600 | 0.0203 | 0.7709 |
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| 0.0268 | 7.25 | 2800 | 0.0211 | 0.7667 |
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| 0.0268 | 7.77 | 3000 | 0.0231 | 0.7691 |
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| 0.0236 | 8.29 | 3200 | 0.0225 | 0.7750 |
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| 0.0236 | 8.81 | 3400 | 0.0216 | 0.7777 |
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| 0.0236 | 9.33 | 3600 | 0.0222 | 0.7725 |
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| 0.0236 | 9.84 | 3800 | 0.0212 | 0.7804 |
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### Framework versions
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- Transformers 4.37.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.17.0
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- Tokenizers 0.15.2
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config.json
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{
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"_name_or_path": "yihongLiu/furina",
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"architectures": [
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"XLMRobertaForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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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": 3072,
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"label2id": {
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"LABEL_0": 0
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "xlm-roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"output_past": true,
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"pad_token_id": 1,
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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": "4.37.2",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 401145
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:72a02c89e677ea7db4ba945eb15ad034d94717ab020d705c902845d250c31685
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size 1576513492
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sentencepiece.bpe.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:7a313a26470baedaede322622492f2a542aa41527ddc5d40de444e945ad3c613
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size 7658320
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special_tokens_map.json
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{
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}
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:849984098c26f9b2f4a2d6104a148685f09571ecb72597422e478fb9309e50e8
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size 26885962
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tokenizer_config.json
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"tokenizer_class": "XLMRobertaTokenizer",
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"unk_token": "<unk>",
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"use_fast": true
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:bfeb4360c5c25fec1005283350d16b668347d9903732408b618c3ebe30933755
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size 4728
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