End of training

README.md

@@ -0,0 +1,86 @@
+---
+license: mit
+base_model: prajjwal1/bert-tiny
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: TestForColab
+  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. -->
+
+# TestForColab
+
+This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2129
+- Accuracy: 0.94
+- F1: 0.9394
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 0.01  | 50   | 0.6913          | 0.55     | 0.3903 |
+| No log        | 0.02  | 100  | 0.6909          | 0.59     | 0.5186 |
+| No log        | 0.03  | 150  | 0.6934          | 0.45     | 0.2793 |
+| No log        | 0.04  | 200  | 0.6889          | 0.57     | 0.5709 |
+| No log        | 0.05  | 250  | 0.6818          | 0.56     | 0.5607 |
+| No log        | 0.06  | 300  | 0.6854          | 0.56     | 0.5607 |
+| No log        | 0.07  | 350  | 0.6878          | 0.56     | 0.5607 |
+| No log        | 0.08  | 400  | 0.7014          | 0.56     | 0.5607 |
+| No log        | 0.09  | 450  | 0.6797          | 0.56     | 0.5607 |
+| 0.6799        | 0.1   | 500  | 0.6731          | 0.56     | 0.5607 |
+| 0.6799        | 0.11  | 550  | 0.6490          | 0.64     | 0.6203 |
+| 0.6799        | 0.12  | 600  | 0.6456          | 0.71     | 0.7049 |
+| 0.6799        | 0.13  | 650  | 0.6259          | 0.64     | 0.6203 |
+| 0.6799        | 0.14  | 700  | 0.5264          | 0.83     | 0.8304 |
+| 0.6799        | 0.15  | 750  | 0.4671          | 0.83     | 0.8304 |
+| 0.6799        | 0.16  | 800  | 0.3387          | 0.94     | 0.9394 |
+| 0.6799        | 0.17  | 850  | 0.2935          | 0.94     | 0.9394 |
+| 0.6799        | 0.18  | 900  | 0.2604          | 0.94     | 0.9394 |
+| 0.6799        | 0.19  | 950  | 0.2443          | 0.94     | 0.9394 |
+| 0.4884        | 0.2   | 1000 | 0.2355          | 0.94     | 0.9394 |
+| 0.4884        | 0.2   | 1050 | 0.2286          | 0.94     | 0.9394 |
+| 0.4884        | 0.21  | 1100 | 0.2240          | 0.94     | 0.9394 |
+| 0.4884        | 0.22  | 1150 | 0.2201          | 0.94     | 0.9394 |
+| 0.4884        | 0.23  | 1200 | 0.2165          | 0.94     | 0.9394 |
+| 0.4884        | 0.24  | 1250 | 0.2129          | 0.94     | 0.9394 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

runs/Dec07_10-23-42_38d7b2e1fe9f/events.out.tfevents.1701944623.38d7b2e1fe9f.775.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:481b323798f9e2c7c477c9d9cd7c47e54fd19a4bac9c1e83364c1b7980d05d23
-size 11788
+oid sha256:a4f740f9a26ebd37fb838fb252cab77dac5f51d3ecbaedebd5ba6c6313e537f3
+size 13987

runs/Dec07_10-23-42_38d7b2e1fe9f/events.out.tfevents.1701944623.38d7b2e1fe9f.775.2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:236873a1fc7192d4bf3b37ea8a50ef1c6663667c5f1b0b0e9cfb7cb88fa1f8a5
-size 11788
+oid sha256:ee12ebdfa8d197a29b40cd01509dc8aabadb519a92f8c3a41668e399c3e3c941
+size 13987