End of training

README.md

@@ -0,0 +1,62 @@
+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: Distilbert-uncased
+  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. -->
+
+# Distilbert-uncased
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3510
+- Rmse: 0.2543
+
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rmse   |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.2091        | 1.0   | 642  | 0.1933          | 0.3052 |
+| 0.1334        | 2.0   | 1284 | 0.1909          | 0.2481 |
+| 0.0684        | 3.0   | 1926 | 0.2617          | 0.2466 |
+| 0.0355        | 4.0   | 2568 | 0.3113          | 0.2513 |
+| 0.0116        | 5.0   | 3210 | 0.3510          | 0.2543 |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.18.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bdc8601cc28946bccf5a532545cbf0a56a8f88cd158e41750901b3934ad9685e
+oid sha256:75499bb79776ad5ce0c78f88ed8f93edaac70899062d3856d4a832f710b430f5
 size 267832560