amphora
/

mergedbench-ckpt

@@ -1,165 +1,179 @@
----
-library_name: transformers
-license: other
-base_model: Qwen/Qwen2.5-3B-Instruct
-tags:
-- generated_from_trainer
-datasets:
-- train.jsonl
-model-index:
-- name: outputs/out
-  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/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)
-<details><summary>See axolotl config</summary>
-axolotl version: `0.6.0`
-```yaml
-base_model: Qwen/Qwen2.5-3B-Instruct
-model_type: AutoModelForCausalLM
-tokenizer_type: AutoTokenizer
-trust_remote_code: false
-load_in_8bit: false
-load_in_4bit: false
-strict: false
-output_dir: ./outputs/out
-chat_template: qwen_25
-datasets:
-  - path: train.jsonl
-    type: chat_template
-    field_messages: messages
-    message_field_role: role
-    message_field_content: content
-    roles:
-      system:
-        - system
-      user:
-        - user
-      assistant:
-        - assistant
-dataset_prepared_path: last_run_prepared
-val_set_size: 0.005
-output_dir: ./outputs/out
-eval_sample_packing: False
-sequence_len: 8192
-sample_packing: False
-pad_to_sequence_len: False
-wandb_project: mergedbench
-wandb_entity:
-wandb_watch:
-wandb_name:
-wandb_log_model:
-# hub_model_id: amphora/merged-bench-qwen-full
-plugins:
-  - axolotl.integrations.liger.LigerPlugin
-liger_rope: true
-liger_rms_norm: true
-liger_swiglu: true
-liger_fused_linear_cross_entropy: true
-gradient_accumulation_steps: 4
-micro_batch_size: 8
-eval_batch_size: 4
-num_epochs: 3
-optimizer: paged_adamw_8bit
-lr_scheduler: cosine
-learning_rate: 2e-5
-train_on_inputs: false
-group_by_length: false
-bf16: auto
-fp16:
-tf32: false
-gradient_checkpointing: true
-gradient_checkpointing_kwargs:
-  use_reentrant: false
-early_stopping_patience:
-resume_from_checkpoint:
-logging_steps: 1
-xformers_attention:
-flash_attention: true
-warmup_steps: 30
-evals_per_epoch: 3
-eval_max_new_tokens: 128
-eval_table_size:
-saves_per_epoch: 1
-debug:
-deepspeed: deepspeed_configs/zero1.json
-weight_decay: 0.01
-fsdp:
-fsdp_config:
-special_tokens:
-```
-</details><br>
-# outputs/out
-This model is a fine-tuned version of [Qwen/Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) on the train.jsonl dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.2783
-## 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: 8
-- eval_batch_size: 4
-- seed: 42
-- distributed_type: multi-GPU
-- num_devices: 2
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 64
-- total_eval_batch_size: 8
-- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 30
-- num_epochs: 3.0
-### Training results
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| 1.3989        | 0.0041 | 1    | 1.7111          |
-| 0.2969        | 0.3350 | 82   | 0.3192          |
-| 0.3027        | 0.6701 | 164  | 0.2914          |
-| 0.177         | 1.0082 | 246  | 0.2854          |
-| 0.1735        | 1.3432 | 328  | 0.2857          |
-| 0.1684        | 1.6782 | 410  | 0.2805          |
-| 0.1109        | 2.0163 | 492  | 0.2741          |
-| 0.0946        | 2.3514 | 574  | 0.2828          |
-| 0.0968        | 2.6864 | 656  | 0.2783          |
-### Framework versions
-- Transformers 4.48.1
-- Pytorch 2.5.1+cu121
-- Datasets 3.2.0
-- Tokenizers 0.21.0

+---
+library_name: transformers
+license: other
+base_model: Qwen/Qwen2.5-3B-Instruct
+tags:
+- generated_from_trainer
+datasets:
+- train.jsonl
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+model-index:
+- name: outputs/out
+  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/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)
+<details><summary>See axolotl config</summary>
+axolotl version: `0.6.0`
+```yaml
+base_model: Qwen/Qwen2.5-3B-Instruct
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+trust_remote_code: false
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+output_dir: ./outputs/out
+chat_template: qwen_25
+datasets:
+  - path: train.jsonl
+    type: chat_template
+    field_messages: messages
+    message_field_role: role
+    message_field_content: content
+    roles:
+      system:
+        - system
+      user:
+        - user
+      assistant:
+        - assistant
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.005
+output_dir: ./outputs/out
+eval_sample_packing: False
+sequence_len: 8192
+sample_packing: False
+pad_to_sequence_len: False
+wandb_project: mergedbench
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+# hub_model_id: amphora/merged-bench-qwen-full
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+liger_rope: true
+liger_rms_norm: true
+liger_swiglu: true
+liger_fused_linear_cross_entropy: true
+gradient_accumulation_steps: 4
+micro_batch_size: 8
+eval_batch_size: 4
+num_epochs: 3
+optimizer: paged_adamw_8bit
+lr_scheduler: cosine
+learning_rate: 2e-5
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+early_stopping_patience:
+resume_from_checkpoint:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+warmup_steps: 30
+evals_per_epoch: 3
+eval_max_new_tokens: 128
+eval_table_size:
+saves_per_epoch: 1
+debug:
+deepspeed: deepspeed_configs/zero1.json
+weight_decay: 0.01
+fsdp:
+fsdp_config:
+special_tokens:
+```
+</details><br>
+# outputs/out
+This model is a fine-tuned version of [Qwen/Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) on the train.jsonl dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2783
+## 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: 8
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- total_eval_batch_size: 8
+- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 30
+- num_epochs: 3.0
+### Training results
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.3989        | 0.0041 | 1    | 1.7111          |
+| 0.2969        | 0.3350 | 82   | 0.3192          |
+| 0.3027        | 0.6701 | 164  | 0.2914          |
+| 0.177         | 1.0082 | 246  | 0.2854          |
+| 0.1735        | 1.3432 | 328  | 0.2857          |
+| 0.1684        | 1.6782 | 410  | 0.2805          |
+| 0.1109        | 2.0163 | 492  | 0.2741          |
+| 0.0946        | 2.3514 | 574  | 0.2828          |
+| 0.0968        | 2.6864 | 656  | 0.2783          |
+### Framework versions
+- Transformers 4.48.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0