End of training

README.md

@@ -66,7 +66,7 @@ lora_model_dir: null
 lora_r: 8
 lora_target_linear: true
 lr_scheduler: cosine
-max_steps: 1
+max_steps: 50
 micro_batch_size: 8
 mlflow_experiment_name: /tmp/1b7bca7b022b0b6c_train_data.json
 model_type: AutoModelForCausalLM
@@ -93,7 +93,7 @@ wandb_name: 51da049f-53af-4e0d-b40d-ba77cac13359
 wandb_project: Gradients-On-Demand
 wandb_run: your_name
 wandb_runid: 51da049f-53af-4e0d-b40d-ba77cac13359
-warmup_steps: 1
+warmup_steps: 2
 weight_decay: 0.0
 xformers_attention: null
 
@@ -104,6 +104,8 @@ xformers_attention: null
 # 51da049f-53af-4e0d-b40d-ba77cac13359
 
 This model is a fine-tuned version of [princeton-nlp/Sheared-LLaMA-1.3B](https://huggingface.co/princeton-nlp/Sheared-LLaMA-1.3B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1649
 
 ## Model description
 
@@ -131,13 +133,18 @@ The following hyperparameters were used during training:
 - 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
+- training_steps: 50
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
 | No log        | 0.0085 | 1    | 2.6883          |
+| 2.2492        | 0.0851 | 10   | 1.2947          |
+| 0.7155        | 0.1701 | 20   | 0.3050          |
+| 0.2393        | 0.2552 | 30   | 0.1871          |
+| 0.2039        | 0.3402 | 40   | 0.1671          |
+| 0.1855        | 0.4253 | 50   | 0.1649          |
 
 
 ### Framework versions

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1b052adce0c7eb73592861037727f7594357adb81a96a3022001512cfa529e67
+oid sha256:38cc479f21870b19dbb23fbd513e8fb8da8f45ee00c1431c48bc1451d12f700d
 size 30103498