End of training

README.md

@@ -65,7 +65,7 @@ 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/1b4160098e22a2ad_train_data.json
 model_type: AutoModelForCausalLM
@@ -90,7 +90,7 @@ wandb_name: 68ca4504-8351-42e6-9722-1f0818f2422f
 wandb_project: Gradients-On-Demand
 wandb_run: your_name
 wandb_runid: 68ca4504-8351-42e6-9722-1f0818f2422f
-warmup_steps: 1
+warmup_steps: 10
 weight_decay: 0.0
 xformers_attention: null
 
@@ -101,6 +101,8 @@ xformers_attention: null
 # 7a756b67-4517-44e5-816c-210c1c002eb7
 
 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: 11.9310
 
 ## Model description
 
@@ -127,14 +129,19 @@ 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        | 0.0009 | 1    | 11.9312         |
+| 11.9312       | 0.0085 | 10   | 11.9311         |
+| 11.9354       | 0.0170 | 20   | 11.9311         |
+| 11.9318       | 0.0255 | 30   | 11.9310         |
+| 11.933        | 0.0340 | 40   | 11.9310         |
+| 11.9298       | 0.0425 | 50   | 11.9310         |
 
 
 ### Framework versions

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3edb7e029b90f8ac92d37c5a4671a6b5b22d3486a8951706f47fca2b8d1937f1
+oid sha256:b91ed9ed7c25b94979402b3bd30ad51264383bea40ab3f9857d082396ffa04cf
 size 21378