commit

README.md

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+---
+base_model: microsoft/Phi-3.5-mini-instruct
+library_name: peft
+license: mit
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: Phi-3.5-MultiCap-mt-10
+  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. -->
+
+# Phi-3.5-MultiCap-mt-10
+
+This model is a fine-tuned version of [microsoft/Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6691
+
+## 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: 0.0001
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.0255        | 0.5109 | 50   | 0.9995          |
+| 0.7489        | 1.0217 | 100  | 0.7879          |
+| 0.7483        | 1.5326 | 150  | 0.7377          |
+| 0.7314        | 2.0434 | 200  | 0.7159          |
+| 0.7247        | 2.5543 | 250  | 0.7031          |
+| 0.7219        | 3.0651 | 300  | 0.6948          |
+| 0.681         | 3.5760 | 350  | 0.6894          |
+| 0.6678        | 4.0868 | 400  | 0.6843          |
+| 0.6784        | 4.5977 | 450  | 0.6808          |
+| 0.6606        | 5.1086 | 500  | 0.6782          |
+| 0.6982        | 5.6194 | 550  | 0.6763          |
+| 0.6524        | 6.1303 | 600  | 0.6742          |
+| 0.655         | 6.6411 | 650  | 0.6728          |
+| 0.6483        | 7.1520 | 700  | 0.6715          |
+| 0.6707        | 7.6628 | 750  | 0.6710          |
+| 0.6334        | 8.1737 | 800  | 0.6703          |
+| 0.6521        | 8.6845 | 850  | 0.6698          |
+| 0.6356        | 9.1954 | 900  | 0.6694          |
+| 0.6232        | 9.7063 | 950  | 0.6691          |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "microsoft/Phi-3.5-mini-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": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
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+    "down_proj",
+    "q_proj",
+    "gate_proj",
+    "k_proj",
+    "up_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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added_tokens.json

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special_tokens_map.json

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tokenizer.model

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tokenizer_config.json

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