End of training

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- axolotl
+- generated_from_trainer
+base_model: mistralai/Mistral-7B-v0.1
+model-index:
+- name: mistral-tenglish-april5_2
+  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: mistralai/Mistral-7B-v0.1
+base_model_config: mistralai/Mistral-7B-v0.1
+model_type: MistralForCausalLM
+tokenizer_type: LlamaTokenizer
+is_mistral_derived_model: true
+ 
+load_in_8bit: true
+load_in_4bit: false
+
+bf16: true
+fp16: false
+tf32: false
+
+bfloat16: true
+
+datasets:
+  - path: indiehackers/telugu_romanized_2048_mistral
+    type: completion
+    field: text
+
+#dataset_prepared_path: ./dataset_tt23
+
+hub_model_id: indiehackers/mistral-tenglish-april5_2
+hf_use_auth_token: true 
+val_set_size: 0.0
+
+sequence_len: 2048
+pad_to_sequence_len: true
+sample_packing: true
+# eval_sample_packing: false
+
+adapter: lora
+lora_r: 128
+lora_alpha: 256
+lora_dropout: 0.05
+lora_target_linear: true
+
+wandb_project: mistral-tenglish
+wandb_entity: team-nik
+#wandb_log_model: end
+
+output_dir: ./mistral-tenglish-out
+
+# Training hyperparameters
+gradient_accumulation_steps: 2
+micro_batch_size: 7
+warmup_steps: 50
+learning_rate: 0.00002
+logging_steps: 1
+evals_per_epoch: 
+save_strategy: steps
+save_steps: 100
+save_total_limit: 10
+num_epochs: 1
+#max_steps: 162945
+# eval_table_size:
+# eval_max_new_tokens: 128
+
+train_on_inputs: false
+group_by_length: false
+
+gradient_checkpointing: true
+early_stopping_patience:
+
+lr_scheduler: linear
+
+optimizer: adamw_bnb_8bit
+
+weight_decay: 0.01
+
+xformers_attention:
+flash_attention: true
+resume_from_checkpoint:
+auto_resume_from_checkpoints: true
+
+local_rank:
+
+fsdp:
+fsdp_config:
+
+deepspeed:
+
+debug:
+
+strict: false
+
+# load_best_model_at_end: True
+max_grad_norm: 0.3
+
+```
+
+</details><br>
+
+# mistral-tenglish-april5_2
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) 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: 2e-05
+- train_batch_size: 7
+- eval_batch_size: 7
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 56
+- total_eval_batch_size: 28
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 1
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.0.dev0
+- Pytorch 2.2.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.0

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