End of training
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README.md
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---
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library_name: transformers
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base_model: KennethEnevoldsen/dfm-sentence-encoder-large-exp2-no-lang-align
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- precision
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- recall
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- f1
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model-index:
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- name: dfm
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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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# dfm
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This model is a fine-tuned version of [KennethEnevoldsen/dfm-sentence-encoder-large-exp2-no-lang-align](https://huggingface.co/KennethEnevoldsen/dfm-sentence-encoder-large-exp2-no-lang-align) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Accuracy: 0.9981
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- Precision: 0.9980
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- Recall: 0.9981
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- F1: 0.9979
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- Loss: 0.0066
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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-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: 2
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- total_train_batch_size: 8
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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: 10
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Accuracy | Precision | Recall | F1 | Validation Loss |
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|:-------------:|:------:|:----:|:--------:|:---------:|:------:|:------:|:---------------:|
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| No log | 0.9524 | 10 | 0.9116 | 0.8719 | 0.9116 | 0.8909 | 0.3402 |
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| No log | 2.0 | 21 | 0.9585 | 0.9581 | 0.9585 | 0.9535 | 0.1368 |
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| No log | 2.9524 | 31 | 0.9818 | 0.9806 | 0.9818 | 0.9812 | 0.0664 |
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| No log | 4.0 | 42 | 0.9926 | 0.9912 | 0.9926 | 0.9919 | 0.0286 |
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| No log | 4.9524 | 52 | 0.9947 | 0.9934 | 0.9947 | 0.9940 | 0.0209 |
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| No log | 6.0 | 63 | 0.9953 | 0.9941 | 0.9953 | 0.9946 | 0.0159 |
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| No log | 6.9524 | 73 | 0.9967 | 0.9968 | 0.9967 | 0.9963 | 0.0107 |
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| No log | 8.0 | 84 | 0.9977 | 0.9977 | 0.9977 | 0.9975 | 0.0082 |
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| No log | 8.9524 | 94 | 0.9980 | 0.9979 | 0.9980 | 0.9978 | 0.0067 |
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| No log | 9.5238 | 100 | 0.9981 | 0.9980 | 0.9981 | 0.9979 | 0.0066 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "KennethEnevoldsen/dfm-sentence-encoder-large-exp2-no-lang-align",
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"architectures": [
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"BertForTokenClassification"
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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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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 1024,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2",
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"3": "LABEL_3",
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"4": "LABEL_4"
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},
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2,
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"LABEL_3": 3,
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"LABEL_4": 4
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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": 16,
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"num_hidden_layers": 24,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.44.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 50000
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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:a902b63b039d601544df14e7502853ceb129d623cad057509d5c1c677366a32d
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size 1416218404
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runs/Oct22_19-06-49_babc088be480/events.out.tfevents.1729624010.babc088be480.4217.1
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version https://git-lfs.github.com/spec/v1
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size 10303
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runs/Oct22_19-06-49_babc088be480/events.out.tfevents.1729624115.babc088be480.4217.2
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version https://git-lfs.github.com/spec/v1
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size 551
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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