pfam_11k_seq
Browse files- README.md +64 -0
- config.json +155 -0
- model.safetensors +3 -0
- special_tokens_map.json +7 -0
- tokenizer_config.json +52 -0
- training_args.bin +3 -0
- vocab.txt +33 -0
README.md
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---
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license: mit
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base_model: facebook/esm2_t30_150M_UR50D
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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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model-index:
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- name: esm2_t30_150M_UR50D-11k-PANTHER-classification
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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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# esm2_t30_150M_UR50D-11k-PANTHER-classification
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This model is a fine-tuned version of [facebook/esm2_t30_150M_UR50D](https://huggingface.co/facebook/esm2_t30_150M_UR50D) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.3041
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- Accuracy: 0.4290
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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: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 128
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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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| No log | 0.9944 | 67 | 3.6678 | 0.2561 |
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| No log | 1.9889 | 134 | 3.3917 | 0.3890 |
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| No log | 2.9833 | 201 | 3.3041 | 0.4290 |
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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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": "facebook/esm2_t30_150M_UR50D",
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"architectures": [
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"EsmForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"classifier_dropout": null,
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"emb_layer_norm_before": false,
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"esmfold_config": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 640,
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"id2label": {
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"problem_type": "single_label_classification",
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"token_dropout": true,
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"torch_dtype": "float32",
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"transformers_version": "4.40.2",
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"use_cache": true,
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"vocab_list": null,
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"vocab_size": 33
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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 sha256:0cea91aa8841e419c5a87df28baf554f5db924f2cc427832ad609f26d5691689
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size 595397916
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special_tokens_map.json
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{
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"cls_token": "<cls>",
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"eos_token": "<eos>",
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"mask_token": "<mask>",
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"pad_token": "<pad>",
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"unk_token": "<unk>"
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}
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "<cls>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "<eos>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"3": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"32": {
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"content": "<mask>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"clean_up_tokenization_spaces": true,
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"cls_token": "<cls>",
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"eos_token": "<eos>",
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"mask_token": "<mask>",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<pad>",
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"tokenizer_class": "EsmTokenizer",
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"unk_token": "<unk>"
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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 sha256:0c7749359dc06534d212367518fe62acb4a131b0d56ce61772600fac550c895d
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size 5048
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vocab.txt
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<cls>
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<pad>
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<eos>
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<unk>
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+
X
|
26 |
+
B
|
27 |
+
U
|
28 |
+
Z
|
29 |
+
O
|
30 |
+
.
|
31 |
+
-
|
32 |
+
<null_1>
|
33 |
+
<mask>
|