End of training

README.md

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+---
+license: mit
+base_model: roberta-base
+tags:
+- generated_from_trainer
+model-index:
+- name: tapt_helpfulness_pretraining_model_final
+  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. -->
+
+# tapt_helpfulness_pretraining_model_final
+
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5048
+
+## 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: 0.0001
+- train_batch_size: 21
+- eval_batch_size: 21
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 42
+- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
+- lr_scheduler_type: linear
+- num_epochs: 100
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 4.7974        | 1.0   | 232   | 2.5728          |
+| 2.4546        | 2.0   | 465   | 2.1447          |
+| 2.1813        | 3.0   | 697   | 1.9812          |
+| 2.0532        | 4.0   | 930   | 1.8776          |
+| 1.9775        | 5.0   | 1162  | 1.8295          |
+| 1.9073        | 6.0   | 1395  | 1.7695          |
+| 1.88          | 7.0   | 1627  | 1.7444          |
+| 1.8393        | 8.0   | 1860  | 1.7227          |
+| 1.8182        | 9.0   | 2092  | 1.6952          |
+| 1.7903        | 10.0  | 2325  | 1.6860          |
+| 1.7805        | 11.0  | 2557  | 1.6647          |
+| 1.7604        | 12.0  | 2790  | 1.6551          |
+| 1.7472        | 13.0  | 3022  | 1.6403          |
+| 1.7328        | 14.0  | 3255  | 1.6328          |
+| 1.7251        | 15.0  | 3487  | 1.6339          |
+| 1.704         | 16.0  | 3720  | 1.6132          |
+| 1.7113        | 17.0  | 3952  | 1.6026          |
+| 1.6898        | 18.0  | 4185  | 1.5934          |
+| 1.692         | 19.0  | 4417  | 1.6081          |
+| 1.6787        | 20.0  | 4650  | 1.5891          |
+| 1.679         | 21.0  | 4882  | 1.5877          |
+| 1.6632        | 22.0  | 5115  | 1.5764          |
+| 1.6674        | 23.0  | 5347  | 1.5962          |
+| 1.6627        | 24.0  | 5580  | 1.5759          |
+| 1.6613        | 25.0  | 5812  | 1.5627          |
+| 1.6421        | 26.0  | 6045  | 1.5636          |
+| 1.6495        | 27.0  | 6277  | 1.5589          |
+| 1.632         | 28.0  | 6510  | 1.5722          |
+| 1.6343        | 29.0  | 6742  | 1.5717          |
+| 1.638         | 30.0  | 6975  | 1.5477          |
+| 1.6327        | 31.0  | 7207  | 1.5498          |
+| 1.6218        | 32.0  | 7440  | 1.5496          |
+| 1.6258        | 33.0  | 7672  | 1.5408          |
+| 1.6205        | 34.0  | 7905  | 1.5361          |
+| 1.6208        | 35.0  | 8137  | 1.5435          |
+| 1.6105        | 36.0  | 8370  | 1.5285          |
+| 1.6168        | 37.0  | 8602  | 1.5367          |
+| 1.605         | 38.0  | 8835  | 1.5390          |
+| 1.6139        | 39.0  | 9067  | 1.5382          |
+| 1.599         | 40.0  | 9300  | 1.5283          |
+| 1.6045        | 41.0  | 9532  | 1.5415          |
+| 1.5947        | 42.0  | 9765  | 1.5284          |
+| 1.6015        | 43.0  | 9997  | 1.5302          |
+| 1.5952        | 44.0  | 10230 | 1.5434          |
+| 1.5996        | 45.0  | 10462 | 1.5372          |
+| 1.5924        | 46.0  | 10695 | 1.5147          |
+| 1.5924        | 47.0  | 10927 | 1.5154          |
+| 1.5867        | 48.0  | 11160 | 1.5339          |
+| 1.5872        | 49.0  | 11392 | 1.5285          |
+| 1.5829        | 50.0  | 11625 | 1.5139          |
+| 1.5907        | 51.0  | 11857 | 1.5197          |
+| 1.5841        | 52.0  | 12090 | 1.5263          |
+| 1.5862        | 53.0  | 12322 | 1.4993          |
+| 1.5728        | 54.0  | 12555 | 1.5045          |
+| 1.5825        | 55.0  | 12787 | 1.5078          |
+| 1.5729        | 56.0  | 13020 | 1.5030          |
+| 1.5826        | 57.0  | 13252 | 1.5112          |
+| 1.5718        | 58.0  | 13485 | 1.5157          |
+| 1.5807        | 59.0  | 13717 | 1.5248          |
+| 1.5725        | 60.0  | 13950 | 1.5161          |
+| 1.5735        | 61.0  | 14182 | 1.5059          |
+| 1.5694        | 62.0  | 14415 | 1.5198          |
+| 1.5709        | 63.0  | 14647 | 1.5046          |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

default/head_config.json

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+  "model_name": "roberta-base",
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+  "version": "0.1.2"
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tapt_seq_bn/adapter_config.json

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+    "factorized_phm_W": true,
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+    "original_ln_after": true,
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+    "output_adapter": true,
+    "phm_bias": true,
+    "phm_c_init": "normal",
+    "phm_dim": 4,
+    "phm_init_range": 0.0001,
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+    "phm_rank": 1,
+    "reduction_factor": 16,
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+    "scaling": 1.0,
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+    "shared_phm_rule": true,
+    "use_gating": false
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+  "config_id": "9076f36a74755ac4",
+  "hidden_size": 768,
+  "model_class": "RobertaAdapterModel",
+  "model_name": "roberta-base",
+  "model_type": "roberta",
+  "name": "tapt_seq_bn",
+  "version": "0.1.2"
+}

tapt_seq_bn/head_config.json

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+    "bias": true,
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+  "model_class": "RobertaAdapterModel",
+  "model_name": "roberta-base",
+  "model_type": "roberta",
+  "name": "tapt_seq_bn",
+  "version": "0.1.2"
+}

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