End of training

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: mistralai/Mistral-7B-v0.1
+model-index:
+- name: 512_block_src_fm_fc_ms_ff_method2testcases_method2test-mistral-7B_v0
+  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. -->
+
+# 512_block_src_fm_fc_ms_ff_method2testcases_method2test-mistral-7B_v0
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1088
+
+## 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: 2.5e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- training_steps: 1000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.9983        | 0.0   | 100  | 1.1595          |
+| 0.9435        | 0.0   | 200  | 1.1294          |
+| 0.906         | 0.0   | 300  | 1.1200          |
+| 0.8821        | 0.0   | 400  | 1.1183          |
+| 0.8983        | 0.0   | 500  | 1.1131          |
+| 0.8696        | 0.01  | 600  | 1.1222          |
+| 0.8919        | 0.01  | 700  | 1.1163          |
+| 0.8876        | 0.01  | 800  | 1.1043          |
+| 0.8582        | 0.01  | 900  | 1.1071          |
+| 0.8854        | 0.01  | 1000 | 1.1088          |
+
+
+### Framework versions
+
+- PEFT 0.8.2
+- Transformers 4.37.2
+- Pytorch 2.2.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.2