End of training

README.md

@@ -64,7 +64,7 @@ lora_model_dir: null
 lora_r: 8
 lora_target_linear: true
 lr_scheduler: cosine
-max_steps: 1
+max_steps: 50
 micro_batch_size: 2
 mlflow_experiment_name: /tmp/8d8edba61bbb4a8e_train_data.json
 model_type: AutoModelForCausalLM
@@ -89,7 +89,7 @@ wandb_name: fcf5881b-2457-4721-807e-7e3e322c193a
 wandb_project: Gradients-On-Demand
 wandb_run: your_name
 wandb_runid: fcf5881b-2457-4721-807e-7e3e322c193a
-warmup_steps: 1
+warmup_steps: 10
 weight_decay: 0.0
 xformers_attention: null
 
@@ -100,6 +100,8 @@ xformers_attention: null
 # 63a8631c-54c7-470b-9aa5-f4c70666a956
 
 This model is a fine-tuned version of [peft-internal-testing/tiny-dummy-qwen2](https://huggingface.co/peft-internal-testing/tiny-dummy-qwen2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 11.9332
 
 ## Model description
 
@@ -126,14 +128,19 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 8
 - optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 2
-- training_steps: 1
+- lr_scheduler_warmup_steps: 10
+- training_steps: 50
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
 | No log        | 0.0004 | 1    | 11.9333         |
+| 11.9345       | 0.0043 | 10   | 11.9333         |
+| 11.9335       | 0.0085 | 20   | 11.9333         |
+| 11.9305       | 0.0128 | 30   | 11.9332         |
+| 11.9328       | 0.0171 | 40   | 11.9332         |
+| 11.9313       | 0.0213 | 50   | 11.9332         |
 
 
 ### Framework versions

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:347d13790a556a93417644f767134bc6172f3c9f4173e852d09f90ffb665df09
+oid sha256:ed08f8d589a975f124ea49580aba4ac6d5e7b9f7726738768c5b69df17076955
 size 21378