End of training

README.md

@@ -1,10 +1,65 @@
 ---
-library_name: peft
+license: bigscience-bloom-rail-1.0
+base_model: bigscience/bloomz-7b1-mt
+tags:
+- generated_from_trainer
+model-index:
+- name: BLOOM_VI
+  results: []
 ---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# BLOOM_VI
+
+This model is a fine-tuned version of [bigscience/bloomz-7b1-mt](https://huggingface.co/bigscience/bloomz-7b1-mt) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2309
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
 ## Training procedure
 
-### Framework versions
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0003
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 3
+- mixed_precision_training: Native AMP
 
-- PEFT 0.5.0
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.3278        | 0.51  | 200  | 1.3118          |
+| 1.2775        | 1.03  | 400  | 1.2715          |
+| 1.2464        | 1.54  | 600  | 1.2517          |
+| 1.2231        | 2.05  | 800  | 1.2390          |
+| 1.2162        | 2.56  | 1000 | 1.2309          |
+
+
+### Framework versions
 
-- PEFT 0.5.0
+- Transformers 4.35.0.dev0
+- Pytorch 2.1.0+cu121
+- Datasets 2.14.5
+- Tokenizers 0.14.1