End of training

README.md

@@ -47,7 +47,7 @@ flash_attention: true
 fp16: null
 fsdp: null
 fsdp_config: null
-gradient_accumulation_steps: 16
+gradient_accumulation_steps: 4
 gradient_checkpointing: false
 group_by_length: false
 hub_model_id: tuanna08go/998eaa3b-1393-4370-a667-0755f399f9e7
@@ -58,7 +58,7 @@ learning_rate: 0.0001
 load_in_4bit: false
 load_in_8bit: false
 local_rank: null
-logging_steps: 10
+logging_steps: 5
 lora_alpha: 16
 lora_dropout: 0.05
 lora_fan_in_fan_out: null
@@ -66,8 +66,8 @@ lora_model_dir: null
 lora_r: 8
 lora_target_linear: true
 lr_scheduler: cosine
-max_steps: 50
-micro_batch_size: 8
+max_steps: 1
+micro_batch_size: 2
 mlflow_experiment_name: /tmp/9ab34964ea5ad3d5_train_data.json
 model_type: AutoModelForCausalLM
 num_epochs: 1
@@ -91,7 +91,7 @@ wandb_name: 998eaa3b-1393-4370-a667-0755f399f9e7
 wandb_project: Gradients-On-Demand
 wandb_run: your_name
 wandb_runid: 998eaa3b-1393-4370-a667-0755f399f9e7
-warmup_steps: 2
+warmup_steps: 1
 weight_decay: 0.0
 xformers_attention: null
 
@@ -102,8 +102,6 @@ xformers_attention: null
 # 998eaa3b-1393-4370-a667-0755f399f9e7
 
 This model is a fine-tuned version of [unsloth/Llama-3.2-3B](https://huggingface.co/unsloth/Llama-3.2-3B) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.7710
 
 ## Model description
 
@@ -123,26 +121,21 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0001
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 2
+- eval_batch_size: 2
 - seed: 42
-- gradient_accumulation_steps: 16
-- total_train_batch_size: 128
+- gradient_accumulation_steps: 4
+- 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: 50
+- training_steps: 1
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| No log        | 0.0009 | 1    | 1.4842          |
-| 1.2553        | 0.0094 | 10   | 0.9307          |
-| 0.848         | 0.0188 | 20   | 0.8125          |
-| 0.8123        | 0.0281 | 30   | 0.7834          |
-| 0.7568        | 0.0375 | 40   | 0.7729          |
-| 0.7657        | 0.0469 | 50   | 0.7710          |
+| No log        | 0.0001 | 1    | 1.5189          |
 
 
 ### Framework versions

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c3602bf920f0b2a413601a4cd11c8d60e4676a39b2e1c994b264fade12ee45b1
+oid sha256:ae009ac147254600c5ef1ef4699dd581ca2aff2ad1354704eb5ef0bd1b12e7d3
 size 48768810