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/715c823bbaf80b25_train_data.json
 model_type: AutoModelForCausalLM
@@ -92,7 +92,7 @@ wandb_name: e401477c-9bf0-4a2e-b843-1d1e13c29afb
 wandb_project: Gradients-On-Demand
 wandb_run: your_name
 wandb_runid: e401477c-9bf0-4a2e-b843-1d1e13c29afb
-warmup_steps: 1
+warmup_steps: 10
 weight_decay: 0.0
 xformers_attention: null
 
@@ -103,6 +103,8 @@ xformers_attention: null
 # e401477c-9bf0-4a2e-b843-1d1e13c29afb
 
 This model is a fine-tuned version of [katuni4ka/tiny-random-falcon-40b](https://huggingface.co/katuni4ka/tiny-random-falcon-40b) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 11.0910
 
 ## Model description
 
@@ -129,14 +131,19 @@ 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        | 0.0014 | 1    | 11.1172         |
+| 44.4643       | 0.0136 | 10   | 11.1140         |
+| 44.4063       | 0.0273 | 20   | 11.1048         |
+| 44.3875       | 0.0409 | 30   | 11.0964         |
+| 44.376        | 0.0546 | 40   | 11.0919         |
+| 44.3796       | 0.0682 | 50   | 11.0910         |
 
 
 ### Framework versions

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6f17d02312b85afead408b00c6f1cb3f7b4df23241c40065c8ffee0e45be9112
+oid sha256:79123f4b95e8ec6fac79f49c6c0122d89eaf773b2db59f0da53e48c415f468d0
 size 129182