End of training

README.md

@@ -0,0 +1,75 @@
+---
+license: mit
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: facebook/esm2_t36_3B_UR50D
+metrics:
+- precision
+- recall
+- accuracy
+model-index:
+- name: esm2-t36-3B-lora-16-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-t36-3B-lora-16-remote-homology-filtered
+
+This model is a fine-tuned version of [facebook/esm2_t36_3B_UR50D](https://huggingface.co/facebook/esm2_t36_3B_UR50D) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4403
+- Precision: 0.7922
+- Recall: 0.8139
+- F1-score: 0.8029
+- Accuracy: 0.7990
+
+## 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: 0.0002
+- train_batch_size: 96
+- eval_batch_size: 96
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 192
+- 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 |
+|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:--------:|:--------:|
+| 0.535         | 0.9992 | 664  | 0.5186          | 0.8002    | 0.6630 | 0.7252   | 0.7472   |
+| 0.4946        | 2.0    | 1329 | 0.5065          | 0.6945    | 0.8969 | 0.7828   | 0.7496   |
+| 0.4727        | 2.9992 | 1993 | 0.4592          | 0.7917    | 0.7876 | 0.7897   | 0.7889   |
+| 0.4439        | 4.0    | 2658 | 0.4471          | 0.8087    | 0.7798 | 0.7940   | 0.7964   |
+| 0.4234        | 4.9962 | 3320 | 0.4403          | 0.7922    | 0.8139 | 0.8029   | 0.7990   |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

adapter_config.json

@@ -0,0 +1,30 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "facebook/esm2_t36_3B_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": 32,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "query",
+    "key",
+    "value"
+  ],
+  "task_type": "SEQ_CLS",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1d0f6db3cdb80d83f3af9af657d132dfda0c42b3301158fe3ac9d1cbdd00a303
+size 65790820

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:75f0372c96fd6fbed287df9aa7943ab4130a1fca17e83463a58fd4f054c0f69d
+size 5112