End of training

README.md

@@ -1,9 +1,8 @@
 ---
 license: apache-2.0
-library_name: peft
+base_model: hishab/titulm-1b-enbn-v1
 tags:
 - generated_from_trainer
-base_model: hishab/titulm-1b-enbn-v1
 model-index:
 - name: bn_llm
   results: []
@@ -15,6 +14,8 @@ should probably proofread and complete it, then remove this comment. -->
 # bn_llm
 
 This model is a fine-tuned version of [hishab/titulm-1b-enbn-v1](https://huggingface.co/hishab/titulm-1b-enbn-v1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9683
 
 ## Model description
 
@@ -40,12 +41,27 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 0.03
-- training_steps: 10000
+- training_steps: 100
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.9884        | 0.0   | 10   | 2.5847          |
+| 2.2947        | 0.0   | 20   | 2.1460          |
+| 1.9811        | 0.0   | 30   | 2.0387          |
+| 2.1339        | 0.0   | 40   | 2.0084          |
+| 2.13          | 0.0   | 50   | 1.9940          |
+| 2.071         | 0.0   | 60   | 1.9842          |
+| 2.0213        | 0.0   | 70   | 1.9764          |
+| 1.872         | 0.0   | 80   | 1.9717          |
+| 2.0046        | 0.0   | 90   | 1.9691          |
+| 2.1022        | 0.0   | 100  | 1.9683          |
+
 
 ### Framework versions
 
-- PEFT 0.10.0
 - Transformers 4.38.2
 - Pytorch 2.2.1+cu121
 - Datasets 2.18.0
-- Tokenizers 0.15.2
+- Tokenizers 0.15.2

generation_config.json

@@ -0,0 +1,5 @@
+{
+  "_from_model_config": true,
+  "transformers_version": "4.38.2",
+  "use_cache": false
+}