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Model: CLMBR/full-transformer-0
Source: Original Platform

.gitattributes

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README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: full2-transformer-0
+  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. -->
+
+# full2-transformer-0
+
+This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.8599
+
+## 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: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 0
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 3052726
+
+### Training results
+
+| Training Loss | Epoch | Step    | Validation Loss |
+|:-------------:|:-----:|:-------:|:---------------:|
+| 4.2278        | 0.03  | 76320   | 4.1982          |
+| 4.022         | 1.03  | 152640  | 4.0277          |
+| 3.9114        | 0.03  | 228960  | 3.9531          |
+| 3.8457        | 1.03  | 305280  | 3.9114          |
+| 3.7937        | 0.03  | 381600  | 3.8858          |
+| 3.754         | 0.03  | 457920  | 3.8699          |
+| 3.7241        | 1.03  | 534240  | 3.8603          |
+| 3.6953        | 0.03  | 610560  | 3.8520          |
+| 3.6648        | 1.03  | 686880  | 3.8463          |
+| 3.6391        | 0.03  | 763200  | 3.8440          |
+| 3.6181        | 1.03  | 839520  | 3.8425          |
+| 3.5968        | 0.03  | 915840  | 3.8439          |
+| 3.5813        | 1.03  | 992160  | 3.8418          |
+| 3.5607        | 0.03  | 1068480 | 3.8427          |
+| 3.5409        | 1.03  | 1144800 | 3.8433          |
+| 3.5305        | 0.03  | 1221120 | 3.8444          |
+| 3.5122        | 1.03  | 1297440 | 3.8448          |
+| 3.4994        | 0.03  | 1373760 | 3.8457          |
+| 3.4845        | 1.03  | 1450080 | 3.8475          |
+| 3.4776        | 0.03  | 1526400 | 3.8493          |
+| 3.4657        | 1.03  | 1602720 | 3.8507          |
+| 3.4584        | 0.03  | 1679040 | 3.8513          |
+| 3.4537        | 1.03  | 1755360 | 3.8522          |
+| 3.4416        | 0.03  | 1831680 | 3.8545          |
+| 3.4273        | 0.03  | 1908000 | 3.8565          |
+| 3.4147        | 1.03  | 1984320 | 3.8564          |
+| 3.4051        | 0.03  | 2060640 | 3.8578          |
+| 3.3912        | 1.03  | 2136960 | 3.8585          |
+| 3.3848        | 0.03  | 2213280 | 3.8590          |
+| 3.3723        | 1.03  | 2289600 | 3.8598          |
+| 3.3586        | 0.03  | 2365920 | 3.8602          |
+| 3.3545        | 1.03  | 2442240 | 3.8610          |
+| 3.3408        | 0.03  | 2518560 | 3.8615          |
+| 3.3335        | 1.03  | 2594880 | 3.8624          |
+| 3.3191        | 0.03  | 2671200 | 3.8620          |
+| 3.3152        | 1.03  | 2747520 | 3.8622          |
+| 3.3084        | 0.03  | 2823840 | 3.8619          |
+| 3.3053        | 1.03  | 2900160 | 3.8617          |
+| 3.3031        | 0.03  | 2976480 | 3.8612          |
+| 3.2954        | 1.02  | 3052726 | 3.8599          |
+
+
+### Framework versions
+
+- Transformers 4.33.3
+- Pytorch 2.0.1
+- Datasets 2.12.0
+- Tokenizers 0.13.3

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