| | --- |
| | license: mit |
| | base_model: croissantllm/CroissantLLMBase |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: gpfs/workdir/fayssema/models/out_translation |
| | 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: croissantllm/CroissantLLMBase |
| | model_type: LlamaForCausalLM |
| | tokenizer_type: LlamaTokenizerFast |
| | is_llama_derived_model: true |
| | |
| | special_tokens: |
| | bos_token: "<s>" |
| | eos_token: "</s>" |
| | unk_token: "<unk>" |
| | |
| | tokens: |
| | - "<|im_start|>" |
| | - "<|im_end|>" |
| | |
| | load_in_8bit: false |
| | load_in_4bit: false |
| | strict: false |
| | |
| | datasets: |
| | - path: manu/dataset_1 |
| | split: train |
| | type: sharegpt |
| | |
| | chat_template: "chatml" |
| | default_system_message: "" |
| | |
| | dataset_prepared_path: new_pii |
| | val_set_size: 0.05 |
| | output_dir: /gpfs/workdir/fayssema/models/out_translation |
| | |
| | sequence_len: 2048 |
| | sample_packing: false |
| | pad_to_sequence_len: false |
| | |
| | adapter: |
| | lora_model_dir: |
| | lora_r: |
| | lora_alpha: |
| | lora_dropout: |
| | lora_target_linear: |
| | lora_fan_in_fan_out: |
| | |
| | wandb_project: |
| | wandb_entity: |
| | wandb_watch: |
| | wandb_name: |
| | wandb_log_model: |
| | |
| | gradient_accumulation_steps: 2 |
| | micro_batch_size: 16 |
| | num_epochs: 3 |
| | optimizer: adamw_bnb_8bit |
| | lr_scheduler: cosine |
| | learning_rate: 0.00003 |
| | |
| | train_on_inputs: false |
| | group_by_length: false |
| | bf16: auto |
| | fp16: false |
| | tf32: true |
| | |
| | gradient_checkpointing: true |
| | early_stopping_patience: |
| | resume_from_checkpoint: |
| | local_rank: |
| | logging_steps: 1 |
| | xformers_attention: |
| | flash_attention: true |
| | flash_attn_cross_entropy: false |
| | flash_attn_rms_norm: true |
| | flash_attn_fuse_qkv: false |
| | flash_attn_fuse_mlp: true |
| | |
| | warmup_steps: 100 |
| | evals_per_epoch: 4 |
| | eval_table_size: |
| | saves_per_epoch: 1 |
| | debug: |
| | deepspeed: #deepspeed_configs/zero2.json # multi-gpu only |
| | weight_decay: 0.05 |
| | fsdp: |
| | fsdp_config: |
| | |
| | ``` |
| |
|
| | </details><br> |
| |
|
| | # gpfs/workdir/fayssema/models/out_translation |
| | |
| | This model is a fine-tuned version of [croissantllm/CroissantLLMBase](https://huggingface.co/croissantllm/CroissantLLMBase) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0098 |
| | |
| | ## 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: 3e-05 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 2 |
| | - total_train_batch_size: 32 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_steps: 100 |
| | - num_epochs: 3 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 2.6652 | 0.0 | 1 | 2.0261 | |
| | | 0.2986 | 0.25 | 73 | 0.0199 | |
| | | 0.19 | 0.5 | 146 | 0.0136 | |
| | | 0.3032 | 0.76 | 219 | 0.0158 | |
| | | 0.1343 | 1.01 | 292 | 0.0125 | |
| | | 0.12 | 1.26 | 365 | 0.0117 | |
| | | 0.2266 | 1.51 | 438 | 0.0113 | |
| | | 0.1924 | 1.77 | 511 | 0.0097 | |
| | | 0.1448 | 2.02 | 584 | 0.0095 | |
| | | 0.0718 | 2.27 | 657 | 0.0098 | |
| | | 0.1184 | 2.52 | 730 | 0.0097 | |
| | | 0.1124 | 2.77 | 803 | 0.0098 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.38.0.dev0 |
| | - Pytorch 2.3.0+cu121 |
| | - Datasets 2.16.1 |
| | - Tokenizers 0.15.0 |
| | |
