End of training

README.md

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+---
+license: bigcode-openrail-m
+base_model: WizardLM/WizardCoder-3B-V1.0
+tags:
+- axolotl
+- dpo
+- trl
+- dpo
+- generated_from_trainer
+model-index:
+- name: WizardCoder-3B-V1.0-dpo-beta-0.01
+  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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.0`
+```yaml
+base_model: WizardLM/WizardCoder-3B-V1.0
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+trust_remote_code: true
+
+hub_model_id: AlekseyKorshuk/WizardCoder-3B-V1.0-dpo-beta-0.01
+hub_strategy: every_save
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+rl: dpo
+datasets:
+  - path: AlekseyKorshuk/evol-codealpaca-v1-dpo
+    split: train
+    type: wizardcoder.intel
+dataset_prepared_path: last_run_prepared
+
+#val_set_size: 0.001
+output_dir: ./output
+
+sequence_len: 2048
+#sample_packing: false  # currently unsupported
+pad_to_sequence_len:
+
+lora_r:
+lora_alpha:
+lora_dropout:
+lora_target_modules:
+lora_target_linear:
+lora_fan_in_fan_out:
+
+wandb_project: ui-thesis
+wandb_entity:
+wandb_watch:
+wandb_name: WizardCoder-3B-V1.0-dpo-beta-0.01
+wandb_log_model:
+
+gradient_accumulation_steps: 4
+micro_batch_size: 8
+num_epochs: 1
+optimizer: paged_adamw_8bit
+adam_beta1: 0.9
+adam_beta2: 0.95
+max_grad_norm: 1.0
+adam_epsilon: 0.00001
+lr_scheduler: cosine
+cosine_min_lr_ratio: 0.1
+learning_rate: 8.0e-7
+warmup_steps: 32
+#warmup_ratio: 0.1
+weight_decay: 0.01
+dpo_beta: 0.01
+
+train_on_inputs: false
+group_by_length: false
+bf16: true
+fp16: false
+tf32: true
+#float16: false
+#bfloat16: false
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: false
+
+
+#evals_per_epoch: 5
+#eval_table_size: 8 # Approximate number of predictions sent to wandb depending on batch size. Enabled above 0. Default is 0
+#eval_table_max_new_tokens: 768 # Total number of tokens generated for predictions sent to wandb. Default is 128
+
+#chat_template: chatml
+#saves_per_epoch: 1
+save_steps: 500
+save_total_limit: 1
+seed: 42
+debug:
+deepspeed:
+
+
+fsdp:
+fsdp_config:
+resize_token_embeddings_to_32x: true
+
+```
+
+</details><br>
+
+# WizardCoder-3B-V1.0-dpo-beta-0.01
+
+This model is a fine-tuned version of [WizardLM/WizardCoder-3B-V1.0](https://huggingface.co/WizardLM/WizardCoder-3B-V1.0) on the None dataset.
+
+## 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: 8e-07
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- total_eval_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 32
+- training_steps: 312
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.38.0.dev0
+- Pytorch 2.1.2+cu118
+- Datasets 2.16.1
+- Tokenizers 0.15.0

added_tokens.json

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+{
+  "[PAD]": 49152
+}

config.json

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+{
+  "_name_or_path": "WizardLM/WizardCoder-3B-V1.0",
+  "activation_function": "gelu_pytorch_tanh",
+  "architectures": [
+    "GPTBigCodeForCausalLM"
+  ],
+  "attention_softmax_in_fp32": true,
+  "attn_pdrop": 0.1,
+  "bos_token_id": 0,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 0,
+  "inference_runner": 0,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "max_batch_size": null,
+  "max_sequence_length": null,
+  "model_type": "gpt_bigcode",
+  "multi_query": true,
+  "n_embd": 2816,
+  "n_head": 22,
+  "n_inner": 11264,
+  "n_layer": 36,
+  "n_positions": 8192,
+  "pad_key_length": true,
+  "pre_allocate_kv_cache": false,
+  "resid_pdrop": 0.1,
+  "scale_attention_softmax_in_fp32": true,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.0.dev0",
+  "use_cache": false,
+  "validate_runner_input": true,
+  "vocab_size": 49184
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "do_sample": true,
+  "eos_token_id": 0,
+  "transformers_version": "4.38.0.dev0"
+}

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