End of training

README.md

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+---
+license: mit
+base_model: BigTMiami/amazon_pretraining_5M_model_corrected
+tags:
+- generated_from_trainer
+model-index:
+- name: dapt_plus_tapt_helpfulness_base_pretraining_model
+  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. -->
+
+# dapt_plus_tapt_helpfulness_base_pretraining_model
+
+This model is a fine-tuned version of [BigTMiami/amazon_pretraining_5M_model_corrected](https://huggingface.co/BigTMiami/amazon_pretraining_5M_model_corrected) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4446
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.6784        | 1.0   | 232  | 1.5304          |
+| 1.6014        | 2.0   | 465  | 1.5186          |
+| 1.5847        | 3.0   | 697  | 1.5100          |
+| 1.5492        | 4.0   | 930  | 1.4959          |
+| 1.5369        | 5.0   | 1162 | 1.5022          |
+| 1.5086        | 6.0   | 1395 | 1.4919          |
+| 1.4953        | 7.0   | 1627 | 1.4770          |
+| 1.4729        | 8.0   | 1860 | 1.4840          |
+| 1.4612        | 9.0   | 2092 | 1.4719          |
+| 1.4502        | 10.0  | 2325 | 1.4595          |
+| 1.436         | 11.0  | 2557 | 1.4670          |
+| 1.4178        | 12.0  | 2790 | 1.4709          |
+| 1.4055        | 13.0  | 3022 | 1.4514          |
+| 1.3951        | 14.0  | 3255 | 1.4595          |
+| 1.3848        | 15.0  | 3487 | 1.4585          |
+| 1.3678        | 16.0  | 3720 | 1.4752          |
+| 1.3659        | 17.0  | 3952 | 1.4636          |
+| 1.3523        | 18.0  | 4185 | 1.4515          |
+| 1.3443        | 19.0  | 4417 | 1.4609          |
+| 1.3285        | 20.0  | 4650 | 1.4590          |
+| 1.3283        | 21.0  | 4882 | 1.4595          |
+| 1.3109        | 22.0  | 5115 | 1.4490          |
+| 1.3111        | 23.0  | 5347 | 1.4457          |
+| 1.2964        | 24.0  | 5580 | 1.4543          |
+| 1.2945        | 25.0  | 5812 | 1.4500          |
+| 1.2792        | 26.0  | 6045 | 1.4537          |
+| 1.2741        | 27.0  | 6277 | 1.4428          |
+| 1.2603        | 28.0  | 6510 | 1.4508          |
+| 1.2609        | 29.0  | 6742 | 1.4473          |
+| 1.246         | 30.0  | 6975 | 1.4458          |
+| 1.2436        | 31.0  | 7207 | 1.4473          |
+| 1.2324        | 32.0  | 7440 | 1.4384          |
+| 1.2282        | 33.0  | 7672 | 1.4368          |
+| 1.2164        | 34.0  | 7905 | 1.4466          |
+| 1.2146        | 35.0  | 8137 | 1.4460          |
+| 1.2022        | 36.0  | 8370 | 1.4520          |
+| 1.1991        | 37.0  | 8602 | 1.4509          |
+| 1.191         | 38.0  | 8835 | 1.4412          |
+| 1.1909        | 39.0  | 9067 | 1.4449          |
+| 1.1777        | 40.0  | 9300 | 1.4521          |
+| 1.1762        | 41.0  | 9532 | 1.4582          |
+| 1.166         | 42.0  | 9765 | 1.4403          |
+| 1.1618        | 43.0  | 9997 | 1.4484          |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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