Model save

README.md

@@ -0,0 +1,64 @@
+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bert-plus-embedderForMLM-goodwiki-deduped-split_4096-usecache
+  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. -->
+
+# bert-plus-embedderForMLM-goodwiki-deduped-split_4096-usecache
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9893
+- Accuracy: 0.6152
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 31010
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 1.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.1283        | 0.25  | 150  | 2.0892          | 0.6018   |
+| 2.0999        | 0.5   | 300  | 2.0387          | 0.6084   |
+| 2.0595        | 0.75  | 450  | 1.9971          | 0.6143   |
+| 2.0481        | 1.0   | 600  | 1.9893          | 0.6152   |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.3.0.dev20240206+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "pad_token_id": 0,
+  "transformers_version": "4.37.2",
+  "use_cache": false
+}