End of training

README.md

@@ -0,0 +1,75 @@
+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: device_recalls_ner_baseline
+  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. -->
+
+# device_recalls_ner_baseline
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0010
+- Precision: 0.5161
+- Recall: 0.5087
+- F1: 0.5124
+- Accuracy: 0.7492
+
+## 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 | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 101  | 0.6541          | 0.4257    | 0.3396 | 0.3778 | 0.6959   |
+| No log        | 2.0   | 202  | 0.5924          | 0.4803    | 0.4754 | 0.4779 | 0.7429   |
+| No log        | 3.0   | 303  | 0.6068          | 0.4826    | 0.5    | 0.4911 | 0.7283   |
+| No log        | 4.0   | 404  | 0.6778          | 0.4350    | 0.5173 | 0.4726 | 0.7079   |
+| 0.501         | 5.0   | 505  | 0.7109          | 0.4876    | 0.5101 | 0.4986 | 0.7359   |
+| 0.501         | 6.0   | 606  | 0.7291          | 0.4929    | 0.5043 | 0.4986 | 0.7448   |
+| 0.501         | 7.0   | 707  | 0.8655          | 0.5338    | 0.4798 | 0.5053 | 0.7537   |
+| 0.501         | 8.0   | 808  | 0.8715          | 0.5055    | 0.5275 | 0.5163 | 0.7460   |
+| 0.501         | 9.0   | 909  | 1.0034          | 0.5027    | 0.5390 | 0.5202 | 0.7467   |
+| 0.1555        | 10.0  | 1010 | 1.0010          | 0.5161    | 0.5087 | 0.5124 | 0.7492   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:67c69366b07f50198f273641c40008043a94b17da7baf9248ac717d3fb0ea2ad
+oid sha256:07f6fb1ab9b080f7f2d78fe8f38f259e90d5f99d7aca7a1083f11fb71ca606e6
 size 435602240

runs/Jun06_00-40-39_c7cc8fe7e0e7/events.out.tfevents.1717634439.c7cc8fe7e0e7.418.21

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ba0f90c66c1276353f94123118b298dcbbee76cd4eca9daafe093273e28bcc85
-size 9475
+oid sha256:bd3e234a0fcae47a8038ce37873b07011e72a154611b1d097638640169cfb529
+size 10512