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Model: shisa-ai/ablation-53-rafathenev2.rp-shisa-v2-mistral-nemo-12b Source: Original Platform
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: mistralai/Mistral-Nemo-Instruct-2407
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tags:
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- generated_from_trainer
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datasets:
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- shisa-ai/shisa-v1-athenev2-reannotated-filtered
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- shisa-ai/shisa-v2-roleplaying
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model-index:
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- name: outputs/ablation-53-rafathenev2.rp-shisa-v2-mistral-nemo-12b
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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[<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)
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<details><summary>See axolotl config</summary>
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axolotl version: `0.8.0.dev0`
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```yaml
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# train w/ shisa-ai/shisa-v1-athenev2-reannotated-filtered
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base_model: mistralai/Mistral-Nemo-Instruct-2407
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tokenizer_type: AutoTokenizer
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load_in_8bit: false
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load_in_4bit: false
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strict: false
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# User Liger
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plugins:
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- axolotl.integrations.liger.LigerPlugin
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liger_rope: true
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liger_rms_norm: true
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liger_glu_activation: true
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liger_fused_linear_cross_entropy: true
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chat_template: tokenizer_default
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datasets:
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- path: shisa-ai/shisa-v1-athenev2-reannotated-filtered
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# type: sharegpt deprecated
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type: chat_template
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field_messages: conversations
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message_field_role: from
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message_field_content: value
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- path: shisa-ai/shisa-v2-roleplaying
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type: chat_template
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field_messages: conversations
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message_property_mappings:
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role: role
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content: content
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roles:
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system:
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- system
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assistant:
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- gpt
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- model
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- assistant
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user:
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- human
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- user
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roles_to_train: ["assistant"]
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dataset_prepared_path: last_run_prepared
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val_set_size: 0.05
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output_dir: ./outputs/ablation-53-rafathenev2.rp-shisa-v2-mistral-nemo-12b
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sequence_len: 8192
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sample_packing: true
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pad_to_sequence_len: true
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# marginal difference
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neftune_noise_alpha: 5
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use_wandb: true
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wandb_project: shisa-v2
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wandb_entity: augmxnt
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wandb_name: ablation-53-rafathenev2.rp-shisa-v2-mistral-nemo-12b
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gradient_accumulation_steps: 4
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micro_batch_size: 2
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num_epochs: 3
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optimizer: paged_adamw_8bit
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lr_scheduler: linear
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learning_rate: 8e-6
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train_on_inputs: false
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group_by_length: false
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bf16: auto
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fp16:
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tf32: false
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gradient_checkpointing: true
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gradient_checkpointing_kwargs:
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use_reentrant: false
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early_stopping_patience:
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resume_from_checkpoint:
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logging_steps: 1
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xformers_attention:
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flash_attention: true
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warmup_steps: 100
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evals_per_epoch: 2
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eval_table_size:
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saves_per_epoch: 0
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save_total_limit: 1 # Only store a single checkpoint
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debug:
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deepspeed: zero3_bf16.json
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weight_decay: 1e-4
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fsdp:
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fsdp_config:
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special_tokens:
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pad_token: "<pad>"
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```
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</details><br>
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# outputs/ablation-53-rafathenev2.rp-shisa-v2-mistral-nemo-12b
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This model is a fine-tuned version of [mistralai/Mistral-Nemo-Instruct-2407](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407) on the shisa-ai/shisa-v1-athenev2-reannotated-filtered and the shisa-ai/shisa-v2-roleplaying datasets.
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It achieves the following results on the evaluation set:
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- Loss: 0.5469
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 8e-06
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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- total_eval_batch_size: 16
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- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 100
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- num_epochs: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.7371 | 0.0039 | 1 | 0.7454 |
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| 0.548 | 0.5015 | 127 | 0.5406 |
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| 0.1184 | 1.0 | 254 | 0.5144 |
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| 0.3822 | 1.5015 | 381 | 0.5184 |
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| 0.0922 | 2.0 | 508 | 0.5090 |
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| 0.2699 | 2.5015 | 635 | 0.5469 |
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### Framework versions
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- Transformers 4.49.0
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- Pytorch 2.6.0+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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config.json
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{
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"_name_or_path": "mistralai/Mistral-Nemo-Instruct-2407",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 131072,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 40,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.49.0",
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"use_cache": false,
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"vocab_size": 131072
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}
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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"_from_model_config": true,
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"do_sample": true,
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"transformers_version": "4.49.0"
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}
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30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
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||||
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3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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size 17078292
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8020
tokenizer_config.json
Normal file
8020
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
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size 12536
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||||
Reference in New Issue
Block a user