End of training

README.md

@@ -0,0 +1,79 @@
+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+datasets:
+- wikitext
+model-index:
+- name: run_2
+  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. -->
+
+# run_2
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the wikitext dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9502
+
+## 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: 0.0005
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 256
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 8.4559        | 0.27  | 50   | 7.1236          |
+| 6.8523        | 0.55  | 100  | 6.6676          |
+| 6.6103        | 0.82  | 150  | 6.5582          |
+| 6.2417        | 1.1   | 200  | 5.6994          |
+| 4.9738        | 1.37  | 250  | 4.3440          |
+| 4.1043        | 1.65  | 300  | 3.7804          |
+| 3.4265        | 1.92  | 350  | 3.0136          |
+| 2.7667        | 2.2   | 400  | 2.5318          |
+| 2.3538        | 2.47  | 450  | 2.0903          |
+| 1.9591        | 2.75  | 500  | 1.7367          |
+| 1.6652        | 3.02  | 550  | 1.5016          |
+| 1.4318        | 3.29  | 600  | 1.3162          |
+| 1.275         | 3.57  | 650  | 1.1657          |
+| 1.1553        | 3.84  | 700  | 1.0655          |
+| 1.0629        | 4.12  | 750  | 1.0029          |
+| 1.0029        | 4.39  | 800  | 0.9683          |
+| 0.9881        | 4.67  | 850  | 0.9536          |
+| 0.9779        | 4.94  | 900  | 0.9502          |
+
+
+### Framework versions
+
+- Transformers 4.33.1
+- Pytorch 1.12.1
+- Datasets 2.14.6
+- Tokenizers 0.13.3

generation_config.json

@@ -0,0 +1,5 @@
+{
+  "_from_model_config": true,
+  "pad_token_id": 0,
+  "transformers_version": "4.33.1"
+}

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:af25c86f6b50621726d736eb3c8775dff642de613770c57a747743906b4ec901
+oid sha256:3ec131eb59545aa3f77f868543d98206dbc99338b5c5abb2d457d12bda0aa077
 size 438124333