End of training

README.md

@@ -0,0 +1,70 @@
+---
+base_model: mistralai/Mistral-7B-v0.1
+library_name: peft
+license: apache-2.0
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: lc_v7_select
+  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. -->
+
+# lc_v7_select
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3328
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.4231        | 1.0   | 297  | 1.3575          |
+| 1.2756        | 2.0   | 594  | 1.3408          |
+| 1.2876        | 3.0   | 891  | 1.3342          |
+| 1.2691        | 4.0   | 1188 | 1.3322          |
+| 1.239         | 5.0   | 1485 | 1.3334          |
+| 1.2492        | 6.0   | 1782 | 1.3324          |
+| 1.3679        | 7.0   | 2079 | 1.3325          |
+| 1.3518        | 8.0   | 2376 | 1.3329          |
+| 1.2306        | 9.0   | 2673 | 1.3333          |
+| 1.2744        | 10.0  | 2970 | 1.3328          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.20.0
+- Tokenizers 0.19.1