End of training

README.md

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+---
+license: mit
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: facebook/esm2_t12_35M_UR50D
+metrics:
+- precision
+- recall
+- accuracy
+model-index:
+- name: esm2-t12-35M-lora-64-remote-homology-filtered
+  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. -->
+
+# esm2-t12-35M-lora-64-remote-homology-filtered
+
+This model is a fine-tuned version of [facebook/esm2_t12_35M_UR50D](https://huggingface.co/facebook/esm2_t12_35M_UR50D) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5657
+- Precision: 0.7166
+- Recall: 0.6986
+- F1-score: 0.7075
+- Accuracy: 0.7141
+
+## 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: 3e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1-score | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:--------:|:--------:|
+| 0.6191        | 1.0   | 7969  | 0.6185          | 0.6919    | 0.5824 | 0.6325   | 0.6650   |
+| 0.5921        | 2.0   | 15938 | 0.5838          | 0.7201    | 0.6339 | 0.6742   | 0.6968   |
+| 0.5874        | 3.0   | 23907 | 0.5751          | 0.7439    | 0.6104 | 0.6705   | 0.7032   |
+| 0.5593        | 4.0   | 31876 | 0.5664          | 0.7210    | 0.6833 | 0.7016   | 0.7124   |
+| 0.576         | 5.0   | 39845 | 0.5657          | 0.7166    | 0.6986 | 0.7075   | 0.7141   |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "facebook/esm2_t12_35M_UR50D",
+  "bias": "all",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 128,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": [
+    "classifier",
+    "score"
+  ],
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "query",
+    "value",
+    "key"
+  ],
+  "task_type": "SEQ_CLS",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 10057596

training_args.bin

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