Model save

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: albert/albert-base-v2
+base_model: google-bert/bert-base-uncased
 tags:
 - generated_from_trainer
 model-index:
@@ -13,11 +13,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # output
 
-This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v2) on an unknown dataset.
+This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3331
-- Memory Allocated (gb): 5.75
-- Max Memory Allocated (gb): 10.76
+- Loss: 0.1962
+- Memory Allocated (gb): 54.03
+- Max Memory Allocated (gb): 54.47
 - Total Memory Available (gb): 94.62
 
 ## Model description
@@ -38,27 +38,24 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 64
+- train_batch_size: 128
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
 - lr_scheduler_type: reduce_lr_on_plateau
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 4
+- num_epochs: 1
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Allocated (gb) | Memory Allocated (gb) | Memory Available (gb) |
 |:-------------:|:-----:|:----:|:---------------:|:--------------:|:---------------------:|:---------------------:|
-| No log        | 1.0   | 391  | 0.2682          | 5.75           | 10.76                 | 94.62                 |
-| No log        | 2.0   | 782  | 0.2636          | 5.75           | 10.76                 | 94.62                 |
-| No log        | 3.0   | 1173 | 0.2861          | 5.75           | 10.76                 | 94.62                 |
-| 0.2178        | 4.0   | 1564 | 0.3331          | 5.75           | 10.76                 | 94.62                 |
+| 0.2846        | 1.0   | 196  | 0.1962          | 54.03          | 54.47                 | 94.62                 |
 
 
 ### Framework versions
 
 - Transformers 4.40.2
-- Pytorch 2.2.2a0+gitb5d0b9b
+- Pytorch 2.3.1a0+git4989238
 - Datasets 2.19.1
 - Tokenizers 0.19.1

emissions.csv

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