End of training

README.md

@@ -46,7 +46,7 @@ flash_attention: false
 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/c55affda-77db-4f15-ad8b-588f0029b630
@@ -57,7 +57,7 @@ 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
@@ -65,8 +65,8 @@ 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/b0e9ac1dfc3c6aab_train_data.json
 model_type: AutoModelForCausalLM
 num_epochs: 1
@@ -90,7 +90,7 @@ wandb_name: c55affda-77db-4f15-ad8b-588f0029b630
 wandb_project: Gradients-On-Demand
 wandb_run: your_name
 wandb_runid: c55affda-77db-4f15-ad8b-588f0029b630
-warmup_steps: 2
+warmup_steps: 1
 weight_decay: 0.0
 xformers_attention: null
 
@@ -101,8 +101,6 @@ xformers_attention: null
 # c55affda-77db-4f15-ad8b-588f0029b630
 
 This model is a fine-tuned version of [unsloth/Qwen2.5-Math-1.5B-Instruct](https://huggingface.co/unsloth/Qwen2.5-Math-1.5B-Instruct) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: nan
 
 ## Model description
 
@@ -122,26 +120,21 @@ 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        | 0.0002 | 1    | nan             |
-| 0.0           | 0.0018 | 10   | nan             |
-| 0.0           | 0.0036 | 20   | nan             |
-| 0.0           | 0.0054 | 30   | nan             |
-| 0.0           | 0.0072 | 40   | nan             |
-| 0.0           | 0.0090 | 50   | nan             |
+| No log        | 0.0000 | 1    | nan             |
 
 
 ### Framework versions

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:d662e68a408b4be1068610c9ee35751a404f3a71dc868345b635dbc5f7403dec
 size 37070634