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README.md

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+---
+library_name: peft
+tags:
+- axolotl
+- generated_from_trainer
+base_model: abhinand/dr-llama-te-instruct-v0
+model-index:
+- name: dr-llama-te-instruct-v0-lora-ext
+  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: `0.3.0`
+```yaml
+base_model: abhinand/dr-llama-te-instruct-v0
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+trust_remote_code: true
+is_llama_derived_model: true
+
+# huggingface repo
+datasets:
+  - path: abhinand/telugu_llama_instruct
+    name: regional_sharegpt_gs8
+    type: sharegpt.load_role
+    conversation: chatml
+    train_on_split: train
+  
+  - path: abhinand/detox-dpo-te
+    name: sharegpt_gs8
+    type: sharegpt.load_role
+    conversation: chatml
+    train_on_split: train
+
+load_in_4bit: false
+load_in_8bit: false
+bf16: true # require >=ampere
+chat_template: chatml
+
+dataset_prepared_path: last_run_prepared_path
+hub_model_id: abhinand/dr-llama-te-instruct-v0-lora-ext
+group_by_length: false
+
+val_set_size: 0.0
+sequence_len: 4096
+sample_packing: true
+pad_to_sequence_len: true
+
+adapter: lora
+lora_model_dir:
+lora_r: 64
+lora_alpha: 128
+lora_target_modules:
+  - q_proj
+  - v_proj
+  - k_proj
+  - o_proj
+  - gate_proj
+  - down_proj
+  - up_proj
+lora_modules_to_save:
+  - embed_tokens
+  - lm_head
+lora_dropout: 0.1
+lora_target_linear: true
+lora_fan_in_fan_out:
+
+output_dir: /home/dev/axolotl/saved_models/telugu-instruct-extended
+
+gradient_accumulation_steps: 8
+micro_batch_size: 4
+eval_batch_size: 4
+num_epochs: 1
+logging_steps: 1
+save_steps: 10
+save_total_limit: 3
+
+save_safetensors: false
+gradient_checkpointing: true
+
+lr_scheduler: cosine
+optimizer: "adamw_bnb_8bit"
+adam_beta2: 0.95
+adam_epsilon: 0.00001
+weight_decay: 0.1
+learning_rate: 0.0005
+max_grad_norm: 1.0
+warmup_ratio: 0.05
+# warmup_steps: 10
+
+flash_attention: true
+
+# Resume from a specific checkpoint dir
+resume_from_checkpoint:
+# If resume_from_checkpoint isn't set and you simply want it to start where it left off.
+# Be careful with this being turned on between different models.
+# auto_resume_from_checkpoints: true
+
+# wandb configuration if you're using it
+# Make sure your `WANDB_API_KEY` environment variable is set (recommended) or you login to wandb with `wandb login`.
+wandb_mode: # "offline" to save run metadata locally and not sync to the server, "disabled" to turn off wandb
+wandb_project: "telugu-llama-sft"
+wandb_name:
+wandb_run_id:
+
+special_tokens:
+  bos_token: "<s>"
+  eos_token: "</s>"
+  unk_token: "<unk>"
+tokens: # these are delimiters
+  - "<|im_start|>"
+  - "<|im_end|>"
+
+```
+
+</details><br>
+
+# dr-llama-te-instruct-v0-lora-ext
+
+This model is a fine-tuned version of [abhinand/dr-llama-te-instruct-v0](https://huggingface.co/abhinand/dr-llama-te-instruct-v0) 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: 0.0005
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 3
+- num_epochs: 1
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.7.0
+- Transformers 4.37.0.dev0
+- Pytorch 2.0.1+cu117
+- Datasets 2.16.1
+- Tokenizers 0.15.0

added_tokens.json

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+{
+  "<|im_end|>": 48703,
+  "<|im_start|>": 48702
+}

config.json

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+{
+  "_name_or_path": "abhinand/dr-llama-te-instruct-v0",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 4096,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.37.0.dev0",
+  "use_cache": false,
+  "vocab_size": 48704
+}

generation_config.json

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+{
+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": 2,
+  "max_length": 4096,
+  "pad_token_id": 0,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.37.0.dev0"
+}

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