Model save

README.md

@@ -0,0 +1,83 @@
+---
+license: gemma
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: google/gemma-7b
+datasets:
+- generator
+model-index:
+- name: gemma7b-classification-gpt4o-100k
+  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. -->
+
+# gemma7b-classification-gpt4o-100k
+
+This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.4668
+
+## 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
+- distributed_type: multi-GPU
+- num_devices: 3
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 24
+- total_eval_batch_size: 12
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.0589        | 1.0   | 319  | 1.7605          |
+| 1.0           | 2.0   | 638  | 1.7306          |
+| 0.8741        | 3.0   | 957  | 1.8115          |
+| 0.7735        | 4.0   | 1276 | 1.9239          |
+| 0.6599        | 5.0   | 1595 | 2.0617          |
+| 0.5764        | 6.0   | 1914 | 2.3235          |
+| 0.4817        | 7.0   | 2233 | 2.6759          |
+| 0.4016        | 8.0   | 2552 | 3.0133          |
+| 0.327         | 9.0   | 2871 | 3.4537          |
+| 0.2814        | 10.0  | 3190 | 3.8273          |
+| 0.2539        | 11.0  | 3509 | 4.1355          |
+| 0.233         | 12.0  | 3828 | 4.3549          |
+| 0.2281        | 13.0  | 4147 | 4.4559          |
+| 0.2274        | 14.0  | 4466 | 4.4672          |
+| 0.2251        | 15.0  | 4785 | 4.4668          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:be3d602110f61e0bb66a787cdc2636a08178a1a368509ac1a95fa23809c86d37
+oid sha256:27bfae684a54b2d53c37a08d119ef6e903d504f327b4e79272ecc3ee6e351009
 size 200068904

all_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 15.0,
+    "total_flos": 5.539666200113447e+18,
+    "train_loss": 0.8980661474674348,
+    "train_runtime": 27834.6576,
+    "train_samples": 92634,
+    "train_samples_per_second": 4.124,
+    "train_steps_per_second": 0.172
+}

runs/Jun12_15-24-06_user-HP-Z8-Fury-G5-Workstation-Desktop-PC/events.out.tfevents.1718173627.user-HP-Z8-Fury-G5-Workstation-Desktop-PC.42464.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:132463df0904b79245addbe150c78ebf2768d8337443481fdb7a1f851af00a56
-size 207864
+oid sha256:0f78b3eefd2146bbe3025fe25b2d705a363e89d423e38d6c6cc23aebc74c4121
+size 212076

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 15.0,
+    "total_flos": 5.539666200113447e+18,
+    "train_loss": 0.8980661474674348,
+    "train_runtime": 27834.6576,
+    "train_samples": 92634,
+    "train_samples_per_second": 4.124,
+    "train_steps_per_second": 0.172
+}