Model save

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: tiiuae/falcon-7b-instruct
+model-index:
+- name: falcon-7b-alpaca
+  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. -->
+
+# falcon-7b-alpaca
+
+This model is a fine-tuned version of [tiiuae/falcon-7b-instruct](https://huggingface.co/tiiuae/falcon-7b-instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9657
+
+## 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: 2e-05
+- train_batch_size: 6
+- eval_batch_size: 6
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 24
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.3865        | 0.0631 | 50   | 1.4032          |
+| 1.2768        | 0.1262 | 100  | 1.2262          |
+| 1.021         | 0.1893 | 150  | 1.0728          |
+| 1.0843        | 0.2524 | 200  | 1.0175          |
+| 0.9927        | 0.3155 | 250  | 0.9966          |
+| 0.9746        | 0.3785 | 300  | 0.9836          |
+| 1.02          | 0.4416 | 350  | 0.9767          |
+| 0.9806        | 0.5047 | 400  | 0.9722          |
+| 1.0579        | 0.5678 | 450  | 0.9684          |
+| 1.0075        | 0.6309 | 500  | 0.9670          |
+| 0.9909        | 0.6940 | 550  | 0.9661          |
+| 0.9792        | 0.7571 | 600  | 0.9661          |
+| 0.9449        | 0.8202 | 650  | 0.9654          |
+| 0.9268        | 0.8833 | 700  | 0.9656          |
+| 1.0441        | 0.9464 | 750  | 0.9657          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "tiiuae/falcon-7b-instruct",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "query_key_value"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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runs/May25_04-11-13_093ae14ce115/events.out.tfevents.1716610320.093ae14ce115.4947.0

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special_tokens_map.json

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tokenizer_config.json

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+}

training_args.bin

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