End of training

README.md

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+---
+language:
+- multilingual
+license: mit
+base_model: HuggingFaceH4/zephyr-7b-alpha
+tags:
+- generated_from_trainer
+datasets:
+- STEM
+model-index:
+- name: zephyr-7b-llm-science-exam
+  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. -->
+
+# zephyr-7b-llm-science-exam
+
+This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-alpha](https://huggingface.co/HuggingFaceH4/zephyr-7b-alpha) on the llm-science-exam dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3920
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.8861        | 0.24  | 100  | 1.6360          |
+| 1.6563        | 0.48  | 200  | 1.4566          |
+| 1.5457        | 0.71  | 300  | 1.3980          |
+| 1.4945        | 0.95  | 400  | 1.3920          |
+
+
+### Framework versions
+
+- Transformers 4.34.0.dev0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.14.0

tokenizer.json

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 {
   "version": "1.0",
   "truncation": null,
-  "padding": {
-    "strategy": "BatchLongest",
-    "direction": "Left",
-    "pad_to_multiple_of": null,
-    "pad_id": 2,
-    "pad_type_id": 0,
-    "pad_token": "</s>"
-  },
+  "padding": null,
   "added_tokens": [
     {
       "id": 0,