End of training

README.md

@@ -1,6 +1,7 @@
 ---
 library_name: peft
-base_model: oopsung/llama2-7b-n-ox-test-v1
+license: apache-2.0
+base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
 tags:
 - axolotl
 - generated_from_trainer
@@ -18,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
 axolotl version: `0.4.1`
 ```yaml
 adapter: lora
-base_model: oopsung/llama2-7b-n-ox-test-v1
+base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
 bf16: auto
 chat_template: llama3
 dataset_prepared_path: null
@@ -97,9 +98,9 @@ xformers_attention: null
 
 # 123e4567-e89b-12d3-a456-426614174000
 
-This model is a fine-tuned version of [oopsung/llama2-7b-n-ox-test-v1](https://huggingface.co/oopsung/llama2-7b-n-ox-test-v1) on the None dataset.
+This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: nan
+- Loss: 2.1212
 
 ## Model description
 
@@ -119,24 +120,19 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0002
-- train_batch_size: 2
-- eval_batch_size: 2
+- train_batch_size: 1
+- eval_batch_size: 1
 - seed: 42
-- 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: 10
-- training_steps: 10
+- lr_scheduler_warmup_steps: 2
+- training_steps: 2
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 0.0           | 0.0006 | 1    | nan             |
-| 0.0           | 0.0017 | 3    | nan             |
-| 0.0           | 0.0034 | 6    | nan             |
-| 0.0           | 0.0050 | 9    | nan             |
+| 2.0306        | 0.0001 | 2    | 2.1212          |
 
 
 ### Framework versions

adapter_model.bin

@@ -1,3 +1,3 @@
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-size 80115210
+oid sha256:2591ceebde5e3f4cf9731ce594751386bb42f0e3804e5c597d9aa5e670171fc5
+size 25342042