Upload 9 files
Browse files- chat_template.jinja +13 -0
- config.json +81 -0
- generation_config.json +7 -0
- model.safetensors +3 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +18 -0
- train_config.json +40 -0
- training.log +0 -0
chat_template.jinja
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{{ bos_token }}
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{% if system %}<|System|>
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{{ system }}
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{% endif %}
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{% for message in messages %}
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{% if message.role == 'user' %}<|Benutzer|>
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{{ message.content }}
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{% elif message.role == 'assistant' %}<|Assistentin|>
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{{ message.content }}
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{% endif %}
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{% endfor %}
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{% if add_generation_prompt %}<|Assistentin|>
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{% else %}</s>{% endif %}
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config.json
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{
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"vocab_size": 35303,
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"hidden_size": 1792,
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"intermediate_size": 3584,
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"num_hidden_layers": 18,
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"num_attention_heads": 14,
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"num_key_value_heads": 14,
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"head_dim": 128,
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"sliding_window": 4096,
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"hidden_act": "silu",
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"attention_dropout": 0.0,
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"rms_norm_eps": 1e-05,
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"initializer_range": 0.02,
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"is_decoder": false,
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"add_cross_attention": false,
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"use_cache": false,
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"attention_bias": true,
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"num_local_experts": 1,
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"num_experts_per_tok": 1,
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"router_aux_loss_coef": 0.0,
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"output_router_logits": false,
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"layer_types": [
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention"
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],
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"max_position_embeddings": 8192,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"pad_token_id": 3,
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"return_dict": true,
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"output_hidden_states": false,
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"dtype": "bfloat16",
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"tie_word_embeddings": false,
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"chunk_size_feed_forward": 0,
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"is_encoder_decoder": false,
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"cross_attention_hidden_size": null,
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"tie_encoder_decoder": false,
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"architectures": [
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"EvaGptForCausalLM"
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],
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"finetuning_task": null,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1
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},
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"task_specific_params": null,
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"problem_type": null,
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"tokenizer_class": null,
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"prefix": null,
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"sep_token_id": null,
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"decoder_start_token_id": null,
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"_name_or_path": "./training_outputs/EvaGPT-German-0.7B_2026_7_2026-01-08_17-33-14_2026-01-08_19-10-49",
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"transformers_version": "5.0.0.dev0",
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"model_type": "eva_gpt",
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"output_attentions": false,
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"rope_scaling": {
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"type": "yarn",
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"factor": 2.0,
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"original_max_position_embeddings": 4096
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}
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"pad_token_id": 3,
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"transformers_version": "5.0.0.dev0"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f27fd1030fcd576515fc7084bbdef8c97a855a685f12db604ebad0140f4bcfef
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size 1410052204
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tokenizer.json
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:dddf9d35fc8790d29daa471f4721338f6136df1b7543a05457425f005ff581fe
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size 753494
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tokenizer_config.json
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{
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"add_prefix_space": null,
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"backend": "tokenizers",
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"cls_token": "</s>",
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"eos_token": "</s>",
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"is_local": true,
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"model_max_length": 1000000000000000019884624838656,
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"model_specific_special_tokens": {},
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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train_config.json
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{
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"model_dir": "./training_outputs/EvaGPT-German-0.7B_2026_7_2026-01-08_17-33-14",
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"csv_path": "./datasets/output-100-3k.csv",
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"device": "cuda",
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"train_mode": "lora",
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"learning_rate": 0.0002,
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"lr_schedule": "cosine",
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"per_device_train_batch_size": 1,
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"gradient_accumulation_steps": 7,
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"num_train_epochs": 1.0,
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"max_steps": null,
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"chunk_size": 4096,
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"max_seq_length": 4096,
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"template_mode": "dialogplus",
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"column_name": "text",
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"lora_r": 100,
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"lora_alpha": 125,
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"shuffle": true,
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"sort_by_length": true,
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"use_ngrams": false,
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"ngram_max": 12,
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"ngram_top_k": 1500,
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"ngram_min_chars": 16,
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"ngram_min_words": 2,
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"ngram_max_samples": 4000,
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"ngram_budgeted": true,
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"ngram_target_fit": 0.98,
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"ngram_eval_samples": 512,
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"ngram_add_batch": 64,
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"ngram_min_count": 2,
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"ngram_max_token_chars": 384,
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"ngram_max_tokens_per_text": 4096,
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"precision_mode": "bf16",
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"gradient_checkpointing": true,
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"save_dir": "./training_outputs",
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"merge_lora_on_save": true,
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"dataloader_num_workers": 0,
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"max_grad_norm": 1.0,
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"weight_decay": 0.01
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}
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training.log
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