End of training

README.md

@@ -0,0 +1,75 @@
+---
+license: gemma
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: google/gemma-7b-it
+model-index:
+- name: spider-gemma7b-it
+  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. -->
+
+# spider-gemma7b-it
+
+This model is a fine-tuned version of [google/gemma-7b-it](https://huggingface.co/google/gemma-7b-it) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1600
+
+## 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: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.4778        | 0.16  | 100  | 0.4999          |
+| 0.2964        | 0.33  | 200  | 0.3364          |
+| 0.2383        | 0.49  | 300  | 0.2924          |
+| 0.2077        | 0.65  | 400  | 0.2551          |
+| 0.1909        | 0.82  | 500  | 0.2283          |
+| 0.1831        | 0.98  | 600  | 0.2188          |
+| 0.1595        | 1.14  | 700  | 0.1855          |
+| 0.1566        | 1.31  | 800  | 0.1779          |
+| 0.1581        | 1.47  | 900  | 0.1706          |
+| 0.1507        | 1.63  | 1000 | 0.1679          |
+| 0.1515        | 1.8   | 1100 | 0.1689          |
+| 0.1514        | 1.96  | 1200 | 0.1600          |
+
+
+### Framework versions
+
+- PEFT 0.8.2
+- Transformers 4.38.0
+- Pytorch 2.2.1+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.2

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:403f17d34d2319469a565a6ccc5667b90e9484737a9fd702a4637b61a3c9dda3
+oid sha256:eda46c9e3b34bca0a8587e649d84ea3d1461af2e23c400cfcf9a3d2c7a644a74
 size 100059752

runs/Apr14_21-21-00_95717c985659/events.out.tfevents.1713129663.95717c985659.24437.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:37867e6e21da73a07246516745f6e288290bc4fde5b3d4d70a81cd4223916c69
-size 11941
+oid sha256:e59472b70ea1808e135e7fe1bed4531df315744cfb10310d6630776ffbfc24e0
+size 13681