End of training

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,73 @@
+---
+license: other
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: google/gemma-2b
+model-index:
+- name: Mental-Gemma-2b
+  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. -->
+
+# Mental-Gemma-2b
+
+This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5483
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.9567        | 0.79  | 100  | 2.9099          |
+| 2.8576        | 1.59  | 200  | 2.8171          |
+| 2.7521        | 2.38  | 300  | 2.7228          |
+| 2.6615        | 3.17  | 400  | 2.6415          |
+| 2.6034        | 3.97  | 500  | 2.5863          |
+| 2.555         | 4.76  | 600  | 2.5637          |
+| 2.5408        | 5.56  | 700  | 2.5563          |
+| 2.5204        | 6.35  | 800  | 2.5526          |
+| 2.5319        | 7.14  | 900  | 2.5503          |
+| 2.5336        | 7.94  | 1000 | 2.5491          |
+| 2.5264        | 8.73  | 1100 | 2.5485          |
+| 2.5166        | 9.52  | 1200 | 2.5483          |
+
+
+### Framework versions
+
+- PEFT 0.9.0
+- Transformers 4.38.2
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

adapter_config.json

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+  "bias": "none",
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+  "init_lora_weights": true,
+  "layers_pattern": null,
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+  "loftq_config": {},
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+  "megatron_config": null,
+  "megatron_core": "megatron.core",
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+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
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+  "target_modules": [
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+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

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runs/Mar05_04-03-22_96c3c8f89063/events.out.tfevents.1709611412.96c3c8f89063.34.0

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special_tokens_map.json

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tokenizer_config.json

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