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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: Qwen/Qwen2.5-14B |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: EVA-Qwen2.5-14B-SFFT-v0.2 |
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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: `0.4.1` |
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```yaml |
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base_model: Qwen/Qwen2.5-14B |
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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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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_swiglu: true |
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liger_fused_linear_cross_entropy: true |
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# plugins: |
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# - axolotl.integrations.spectrum.SpectrumPlugin |
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# spectrum_top_fraction: 0.5 |
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# # Optional if using a pre-scanned model as your base_model. Useful if using a model mirror |
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# spectrum_model_name: Qwen/Qwen2.5-32B |
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datasets: |
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- path: datasets/Celeste_Filtered_utf8fix.jsonl |
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type: sharegpt |
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- path: datasets/deduped_not_samantha_norefusals.jsonl |
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type: sharegpt |
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- path: datasets/deduped_SynthRP-Gens_processed_ShareGPT_converted_cleaned.jsonl |
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type: sharegpt |
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- path: datasets/deduped_Synthstruct-Gens_processed_sharegpt_converted_cleaned.jsonl |
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type: sharegpt |
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- path: datasets/Gryphe-4o-WP-filtered-sharegpt_utf8fix.jsonl |
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type: sharegpt |
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- path: datasets/opus-instruct-22k-no_refusals-filtered_utf8fix.jsonl |
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type: sharegpt |
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- path: datasets/Sonnet3-5-charcard-names-filtered-sharegpt_utf8fix.jsonl |
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type: sharegpt |
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- path: datasets/SystemChat_subset_filtered_sharegpt_utf8fix.jsonl |
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type: sharegpt |
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chat_template: chatml |
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shuffle_merged_datasets: true |
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val_set_size: 0.001 |
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output_dir: ./EVA-Qwen2.5-14B-SFFT-v0.2 |
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sequence_len: 10240 |
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sample_packing: true |
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eval_sample_packing: false |
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pad_to_sequence_len: true |
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# adapter: qlora |
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# lora_model_dir: |
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# lora_r: 64 |
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# lora_alpha: 128 |
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# lora_dropout: 0.05 |
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# lora_target_linear: true |
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# peft_use_dora: true |
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base_model: Qwen/Qwen2.5-14B |
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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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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_swiglu: true |
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liger_fused_linear_cross_entropy: true |
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datasets: |
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- path: datasets/Celeste_Filtered_utf8fix.jsonl |
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type: sharegpt |
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- path: datasets/deduped_not_samantha_norefusals.jsonl |
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type: sharegpt |
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- path: datasets/deduped_SynthRP-Gens_processed_ShareGPT_converted_cleaned.jsonl |
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type: sharegpt |
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- path: datasets/deduped_Synthstruct-Gens_processed_sharegpt_converted_cleaned.jsonl |
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type: sharegpt |
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- path: datasets/Gryphe-4o-WP-filtered-sharegpt_utf8fix.jsonl |
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type: sharegpt |
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- path: datasets/opus-instruct-22k-no_refusals-filtered_utf8fix.jsonl |
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type: sharegpt |
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- path: datasets/Sonnet3-5-charcard-names-filtered-sharegpt_utf8fix.jsonl |
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type: sharegpt |
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- path: datasets/SystemChat_subset_filtered_sharegpt_utf8fix.jsonl |
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type: sharegpt |
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chat_template: chatml |
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shuffle_merged_datasets: true |
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val_set_size: 0.005 |
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output_dir: ./EVA-Qwen2.5-14B-SFFT-v0.2 |
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sequence_len: 10240 |
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sample_packing: true |
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eval_sample_packing: false |
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pad_to_sequence_len: true |
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# adapter: qlora |
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# lora_model_dir: |
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# lora_r: 32 |
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# lora_alpha: 16 |
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# lora_dropout: 0.05 |
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# lora_target_linear: true |
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# peft_use_dora: true |
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unfrozen_parameters: |
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- ^lm_head.weight$ |
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- ^model.embed_tokens.weight$ |
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# mlp.down_proj layers |
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- model.layers.1.mlp.down_proj |
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- model.layers.35.mlp.down_proj |
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- model.layers.38.mlp.down_proj |
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- model.layers.37.mlp.down_proj |
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- model.layers.36.mlp.down_proj |
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- model.layers.15.mlp.down_proj |
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- model.layers.11.mlp.down_proj |
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- model.layers.12.mlp.down_proj |
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- model.layers.34.mlp.down_proj |
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- model.layers.44.mlp.down_proj |
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- model.layers.45.mlp.down_proj |
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- model.layers.9.mlp.down_proj |
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- model.layers.41.mlp.down_proj |
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- model.layers.33.mlp.down_proj |
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- model.layers.43.mlp.down_proj |
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- model.layers.40.mlp.down_proj |
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- model.layers.13.mlp.down_proj |
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- model.layers.8.mlp.down_proj |
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- model.layers.39.mlp.down_proj |
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- model.layers.10.mlp.down_proj |
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- model.layers.14.mlp.down_proj |
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- model.layers.16.mlp.down_proj |
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- model.layers.31.mlp.down_proj |
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- model.layers.32.mlp.down_proj |
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# mlp.gate_proj layers |
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- model.layers.1.mlp.gate_proj |
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- model.layers.44.mlp.gate_proj |
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- model.layers.46.mlp.gate_proj |
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- model.layers.45.mlp.gate_proj |
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- model.layers.43.mlp.gate_proj |
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- model.layers.47.mlp.gate_proj |
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- model.layers.42.mlp.gate_proj |
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- model.layers.32.mlp.gate_proj |
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- model.layers.27.mlp.gate_proj |
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- model.layers.33.mlp.gate_proj |
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- model.layers.28.mlp.gate_proj |
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- model.layers.39.mlp.gate_proj |
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- model.layers.41.mlp.gate_proj |
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- model.layers.40.mlp.gate_proj |
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- model.layers.30.mlp.gate_proj |
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- model.layers.29.mlp.gate_proj |
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- model.layers.31.mlp.gate_proj |
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- model.layers.37.mlp.gate_proj |
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- model.layers.26.mlp.gate_proj |
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- model.layers.10.mlp.gate_proj |
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- model.layers.38.mlp.gate_proj |
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- model.layers.36.mlp.gate_proj |
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- model.layers.12.mlp.gate_proj |
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- model.layers.13.mlp.gate_proj |
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# mlp.up_proj layers |
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- model.layers.1.mlp.up_proj |
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- model.layers.13.mlp.up_proj |
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- model.layers.11.mlp.up_proj |
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- model.layers.14.mlp.up_proj |
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- model.layers.15.mlp.up_proj |
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- model.layers.12.mlp.up_proj |
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- model.layers.8.mlp.up_proj |
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- model.layers.16.mlp.up_proj |
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- model.layers.9.mlp.up_proj |
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- model.layers.19.mlp.up_proj |
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- model.layers.10.mlp.up_proj |
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- model.layers.7.mlp.up_proj |
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- model.layers.17.mlp.up_proj |
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- model.layers.20.mlp.up_proj |
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- model.layers.21.mlp.up_proj |
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- model.layers.18.mlp.up_proj |
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- model.layers.37.mlp.up_proj |
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- model.layers.38.mlp.up_proj |
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- model.layers.39.mlp.up_proj |
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- model.layers.42.mlp.up_proj |
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- model.layers.41.mlp.up_proj |
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- model.layers.27.mlp.up_proj |
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- model.layers.28.mlp.up_proj |
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- model.layers.36.mlp.up_proj |
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# self_attn.k_proj layers |
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- model.layers.47.self_attn.k_proj |
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- model.layers.39.self_attn.k_proj |
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- model.layers.41.self_attn.k_proj |
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- model.layers.37.self_attn.k_proj |
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- model.layers.35.self_attn.k_proj |
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- model.layers.44.self_attn.k_proj |
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- model.layers.38.self_attn.k_proj |
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- model.layers.14.self_attn.k_proj |
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- model.layers.7.self_attn.k_proj |
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- model.layers.12.self_attn.k_proj |
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- model.layers.11.self_attn.k_proj |
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- model.layers.32.self_attn.k_proj |
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- model.layers.10.self_attn.k_proj |
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- model.layers.8.self_attn.k_proj |
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- model.layers.6.self_attn.k_proj |
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- model.layers.9.self_attn.k_proj |
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- model.layers.45.self_attn.k_proj |
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- model.layers.42.self_attn.k_proj |
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- model.layers.40.self_attn.k_proj |
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- model.layers.5.self_attn.k_proj |
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- model.layers.0.self_attn.k_proj |
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- model.layers.33.self_attn.k_proj |
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- model.layers.34.self_attn.k_proj |
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- model.layers.13.self_attn.k_proj |
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# self_attn.o_proj layers |
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- model.layers.12.self_attn.o_proj |
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- model.layers.5.self_attn.o_proj |
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- model.layers.14.self_attn.o_proj |
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- model.layers.16.self_attn.o_proj |
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- model.layers.20.self_attn.o_proj |
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- model.layers.13.self_attn.o_proj |
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- model.layers.11.self_attn.o_proj |
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- model.layers.4.self_attn.o_proj |
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- model.layers.6.self_attn.o_proj |
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- model.layers.19.self_attn.o_proj |
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- model.layers.7.self_attn.o_proj |
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- model.layers.18.self_attn.o_proj |
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- model.layers.8.self_attn.o_proj |
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- model.layers.38.self_attn.o_proj |
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- model.layers.15.self_attn.o_proj |
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- model.layers.17.self_attn.o_proj |
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- model.layers.9.self_attn.o_proj |
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- model.layers.10.self_attn.o_proj |
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- model.layers.21.self_attn.o_proj |
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- model.layers.28.self_attn.o_proj |
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- model.layers.32.self_attn.o_proj |
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- model.layers.35.self_attn.o_proj |
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- model.layers.39.self_attn.o_proj |
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- model.layers.3.self_attn.o_proj |
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# self_attn.q_proj layers |
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- model.layers.1.self_attn.q_proj |
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- model.layers.2.self_attn.q_proj |
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- model.layers.3.self_attn.q_proj |
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- model.layers.44.self_attn.q_proj |
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- model.layers.29.self_attn.q_proj |
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- model.layers.45.self_attn.q_proj |
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- model.layers.43.self_attn.q_proj |
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- model.layers.32.self_attn.q_proj |
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- model.layers.38.self_attn.q_proj |
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- model.layers.19.self_attn.q_proj |
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- model.layers.42.self_attn.q_proj |
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- model.layers.34.self_attn.q_proj |
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- model.layers.36.self_attn.q_proj |
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- model.layers.40.self_attn.q_proj |
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- model.layers.26.self_attn.q_proj |
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- model.layers.20.self_attn.q_proj |
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- model.layers.28.self_attn.q_proj |
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- model.layers.39.self_attn.q_proj |
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- model.layers.41.self_attn.q_proj |
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- model.layers.33.self_attn.q_proj |
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- model.layers.35.self_attn.q_proj |
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- model.layers.25.self_attn.q_proj |
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- model.layers.30.self_attn.q_proj |
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- model.layers.27.self_attn.q_proj |
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# self_attn.v_proj layers |
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- model.layers.0.self_attn.v_proj |
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- model.layers.7.self_attn.v_proj |
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- model.layers.39.self_attn.v_proj |
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- model.layers.31.self_attn.v_proj |
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- model.layers.15.self_attn.v_proj |
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- model.layers.10.self_attn.v_proj |
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- model.layers.41.self_attn.v_proj |
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- model.layers.32.self_attn.v_proj |
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- model.layers.6.self_attn.v_proj |
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- model.layers.33.self_attn.v_proj |
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- model.layers.42.self_attn.v_proj |
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- model.layers.29.self_attn.v_proj |
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- model.layers.9.self_attn.v_proj |
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- model.layers.14.self_attn.v_proj |
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- model.layers.35.self_attn.v_proj |
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- model.layers.38.self_attn.v_proj |
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- model.layers.13.self_attn.v_proj |
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- model.layers.30.self_attn.v_proj |
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- model.layers.34.self_attn.v_proj |
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- model.layers.5.self_attn.v_proj |
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- model.layers.28.self_attn.v_proj |
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- model.layers.37.self_attn.v_proj |
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- model.layers.27.self_attn.v_proj |
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- model.layers.11.self_attn.v_proj |
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wandb_project: EVA-Qwen2.5-14B-SFFT-v0.2 |
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wandb_entity: |
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wandb_watch: |
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wandb_name: Unit-02 |
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wandb_log_model: |
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gradient_accumulation_steps: 8 |
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micro_batch_size: 2 |
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num_epochs: 3 |
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optimizer: paged_ademamix_8bit |
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lr_scheduler: cosine |
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learning_rate: 0.00005 |
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max_grad_norm: 3 |
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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: "unsloth" |
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# gradient_checkpointing_kwargs: |
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# use_reentrant: true |
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early_stopping_patience: |
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resume_from_checkpoint: |
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local_rank: |
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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: 20 |
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evals_per_epoch: 4 |
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saves_per_epoch: 4 |
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save_safetensors: true |
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hub_model_id: |
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hub_strategy: |
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debug: |
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deepspeed: deepspeed_configs/zero3_bf16.json |
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weight_decay: 0.1 |
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# fsdp: |
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# - full_shard |
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# - auto_wrap |
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# fsdp_config: |
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# fsdp_limit_all_gathers: true |
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# fsdp_sync_module_states: false |
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# fsdp_offload_params: true |
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# fsdp_cpu_ram_efficient_loading: true |
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# fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP |
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# fsdp_transformer_layer_cls_to_wrap: Qwen2DecoderLayer |
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# fsdp_activation_checkpointing: true |
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# fsdp_state_dict_type: SHARDED_STATE_DICT # Changed from FULL_STATE_DICT |
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# fsdp_sharding_strategy: FULL_SHARD |
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# fsdp_forward_prefetch: false # Added |
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# fsdp_backward_prefetch: "BACKWARD_PRE" # Added |
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# fsdp_backward_prefetch_limit: 1 # Added |
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# fsdp_mixed_precision: BF16 # Added |
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``` |
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</details><br> |
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# EVA-Qwen2.5-14B-SFFT-v0.2 |
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This model is a fine-tuned version of [Qwen/Qwen2.5-14B](https://huggingface.co/Qwen/Qwen2.5-14B) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.0986 |
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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: 5e-05 |
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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: 8 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 20 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.4236 | 0.0170 | 1 | 2.6557 | |
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| 1.2513 | 0.2553 | 15 | 3.4606 | |
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| 1.1338 | 0.5106 | 30 | 3.5536 | |
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| 1.0985 | 0.7660 | 45 | 3.1957 | |
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| 0.8794 | 1.0170 | 60 | 3.0346 | |
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| 0.8584 | 1.2718 | 75 | 3.0551 | |
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| 0.8421 | 1.5265 | 90 | 3.0168 | |
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| 0.8081 | 1.7813 | 105 | 3.0335 | |
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| 0.8227 | 2.0361 | 120 | 3.0369 | |
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| 0.7416 | 2.2909 | 135 | 3.0876 | |
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| 0.7396 | 2.5456 | 150 | 3.1023 | |
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| 0.7775 | 2.8004 | 165 | 3.0986 | |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.20.2 |
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