End of training

README.md

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+---
+license: bsd-3-clause
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: hugohrban/progen2-small
+metrics:
+- precision
+- recall
+- accuracy
+model-index:
+- name: progen2-small-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. -->
+
+# progen2-small-lora-64-remote-homology-filtered
+
+This model is a fine-tuned version of [hugohrban/progen2-small](https://huggingface.co/hugohrban/progen2-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1353
+- Precision: 0.9499
+- Recall: 0.9699
+- F1-score: 0.9598
+- Accuracy: 0.9595
+
+## 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: 192
+- eval_batch_size: 192
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 384
+- 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
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Precision | Recall | F1-score | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:--------:|:--------:|
+| 0.3088        | 0.9985 | 332  | 0.2490          | 0.8692    | 0.9277 | 0.8975   | 0.8943   |
+| 0.1806        | 2.0    | 665  | 0.1541          | 0.9259    | 0.9507 | 0.9382   | 0.9375   |
+| 0.1036        | 2.9985 | 997  | 0.1190          | 0.9522    | 0.9541 | 0.9532   | 0.9532   |
+| 0.0533        | 4.0    | 1330 | 0.1140          | 0.9538    | 0.9628 | 0.9582   | 0.9581   |
+| 0.0272        | 4.9925 | 1660 | 0.1353          | 0.9499    | 0.9699 | 0.9598   | 0.9595   |
+
+
+### 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

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "hugohrban/progen2-small",
+  "bias": "none",
+  "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": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "out_proj",
+    "qkv_proj"
+  ],
+  "task_type": "SEQ_CLS",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 18888696

training_args.bin

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