End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: microsoft/Phi-3.5-mini-instruct
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: Phi-3.5-mini-instruct-Code50000-Test
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.1`
+```yaml
+base_model: microsoft/Phi-3.5-mini-instruct
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+chat_template: phi_3
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: flydust/CodeGen_50000_Test
+    type: chat_template
+    field_messages: conversations
+    # The key in the message turn that contains the role. Default is "role".
+    message_field_role: from
+    # The key in the message turn that contains the content. Default is "content".
+    message_field_content: value
+    # Optional[Dict[str, List]]. Roles mapping for the messages.
+    roles:
+      user: ["human", "user"]
+      assistant: ["gpt", "assistant", "ai"]
+      system: ["system"]
+
+
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.001
+output_dir: axolotl_out/Phi-3.5-mini-instruct-Code50000-Test
+
+sequence_len: 4096
+sample_packing: true
+eval_sample_packing: false
+pad_to_sequence_len: true
+
+wandb_project: SynDa
+wandb_entity:
+wandb_watch:
+wandb_name: Phi-3.5-mini-instruct-Code50000-Test
+wandb_log_model:
+hub_model_id: flydust/Phi-3.5-mini-instruct-Code50000-Test
+
+gradient_accumulation_steps: 4
+micro_batch_size: 1
+num_epochs: 2
+optimizer: paged_adamw_8bit
+lr_scheduler: cosine
+learning_rate: 2e-5
+
+train_on_inputs: false
+group_by_length: false
+bf16: true
+fp16:
+tf32: false
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+early_stopping_patience:
+resume_from_checkpoint:
+logging_steps: 1
+xformers_attention:
+# Disable flash attention
+flash_attention: true
+# sdp_attention: falses
+# eager_attention: true
+
+warmup_ratio: 0.1
+evals_per_epoch: 10
+eval_table_size:
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+```
+
+</details><br>
+
+# Phi-3.5-mini-instruct-Code50000-Test
+
+This model is a fine-tuned version of [microsoft/Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1712
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- total_eval_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 21
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.4415        | 0.0093 | 1    | 0.4636          |
+| 0.2376        | 0.1019 | 11   | 0.2367          |
+| 0.2014        | 0.2037 | 22   | 0.2002          |
+| 0.1824        | 0.3056 | 33   | 0.1895          |
+| 0.1728        | 0.4074 | 44   | 0.1817          |
+| 0.1764        | 0.5093 | 55   | 0.1786          |
+| 0.1822        | 0.6111 | 66   | 0.1766          |
+| 0.1661        | 0.7130 | 77   | 0.1750          |
+| 0.171         | 0.8148 | 88   | 0.1740          |
+| 0.1577        | 0.9167 | 99   | 0.1741          |
+| 0.1615        | 1.0162 | 110  | 0.1722          |
+| 0.1551        | 1.1181 | 121  | 0.1720          |
+| 0.1676        | 1.2199 | 132  | 0.1724          |
+| 0.1583        | 1.3218 | 143  | 0.1714          |
+| 0.164         | 1.4236 | 154  | 0.1713          |
+| 0.1581        | 1.5255 | 165  | 0.1717          |
+| 0.1496        | 1.6273 | 176  | 0.1707          |
+| 0.1563        | 1.7292 | 187  | 0.1710          |
+| 0.1518        | 1.8310 | 198  | 0.1707          |
+| 0.1687        | 1.9329 | 209  | 0.1712          |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.5.1+cu124
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": [
+    32007,
+    32001,
+    32000
+  ],
+  "pad_token_id": 32000,
+  "transformers_version": "4.44.2"
+}

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