Gemma 2 9B DevOps - Polish finetuned model
Browse files- .gitattributes +1 -0
- README.md +39 -0
- chat_template.jinja +4 -0
- config.json +82 -0
- generation_config.json +10 -0
- model.safetensors +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +19 -0
- trainer_log_history.json +908 -0
- training_metadata.json +45 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
ADDED
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@@ -0,0 +1,39 @@
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---
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language:
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- pl
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- en
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license: mit
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tags:
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- devops
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- kubernetes
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- ansible
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- terraform
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- yaml
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base_model: google/gemma-2-9b-it
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---
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# Phi-3.5-mini-PL-DevOps-Instruct-v2
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Polish DevOps assistant fine-tuned on Infrastructure as Code tasks.
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## ⚠️ Fixes in v2
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- **Fixed YAML indentation** - consistent 2-space indentation
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- **High Quality Training** - Native BF16 training (no quantization errors)
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- Trained WITHOUT Unsloth (no padding-free mode)
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- `packing=False` to preserve whitespace
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## Evaluation / Inference
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This model is saved in **BFLOAT16**.
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- For 4-bit inference: Load with `load_in_4bit=True` (bitsandbytes)
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- For vLLM: Compatible with standard loading or FP8/AWQ quantization
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## Training
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| Param | Value |
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|-------|-------|
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| Base | google/gemma-2-9b-it |
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| Method | Full BF16 Finetuning + LoRA |
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| Batch | 96 effective |
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| Train samples | 170,305 |
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| Train loss | 0.6174 |
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| Time | 667.0 min |
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| GPU | H100 80GB |
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chat_template.jinja
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{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '
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' + message['content'] | trim + '<end_of_turn>
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' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model
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'}}{% endif %}
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config.json
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@@ -0,0 +1,82 @@
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{
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"architectures": [
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"Gemma2ForCausalLM"
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],
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| 5 |
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"attention_bias": false,
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| 6 |
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"attention_dropout": 0.0,
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| 7 |
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"attn_logit_softcapping": 50.0,
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| 8 |
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"bos_token_id": 2,
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"cache_implementation": "hybrid",
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| 10 |
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"dtype": "bfloat16",
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"eos_token_id": 1,
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| 12 |
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"final_logit_softcapping": 30.0,
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| 13 |
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"head_dim": 256,
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"hidden_act": "gelu_pytorch_tanh",
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"hidden_activation": "gelu_pytorch_tanh",
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"hidden_size": 3584,
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"initializer_range": 0.02,
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| 18 |
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"intermediate_size": 14336,
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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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"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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"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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| 61 |
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"full_attention"
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],
|
| 63 |
+
"max_position_embeddings": 8192,
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| 64 |
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"model_type": "gemma2",
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| 65 |
+
"num_attention_heads": 16,
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| 66 |
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"num_hidden_layers": 42,
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| 67 |
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"num_key_value_heads": 8,
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| 68 |
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"pad_token_id": 0,
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| 69 |
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"query_pre_attn_scalar": 256,
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| 70 |
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"rms_norm_eps": 1e-06,
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| 71 |
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"rope_parameters": {
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"rope_theta": 10000.0,
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"rope_type": "default"
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},
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"sliding_window": 4096,
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"sliding_window_size": 4096,
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| 77 |
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"tie_word_embeddings": true,
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| 78 |
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"transformers_version": "5.0.0",
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| 79 |
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"use_bidirectional_attention": null,
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"use_cache": false,
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| 81 |
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"vocab_size": 256000
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}
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generation_config.json
ADDED
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{
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"_from_model_config": true,
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"bos_token_id": 2,
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"cache_implementation": "hybrid",
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| 5 |
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"eos_token_id": [
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1
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],
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| 8 |
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"pad_token_id": 0,
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"transformers_version": "5.0.0"
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}
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model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
|
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oid sha256:e79c3ec83bb4df5182eb6057df9c8df02d95dbc5d9ccf69e8cfb81dfce671589
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size 18483467000
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tokenizer.json
ADDED
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version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:394ace002a144ac6ad5486387502f2d36f70c087310c3d907857240c76fcb36e
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| 3 |
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size 34362748
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tokenizer_config.json
ADDED
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{
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"backend": "tokenizers",
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"bos_token": "<bos>",
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"clean_up_tokenization_spaces": false,
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| 5 |
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"eos_token": "<eos>",
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| 6 |
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"extra_special_tokens": [
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"<start_of_turn>",
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| 8 |
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"<end_of_turn>"
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| 9 |
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],
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"is_local": false,
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| 11 |
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"mask_token": "<mask>",
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| 12 |
+
"model_max_length": 2048,
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| 13 |
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"pad_token": "<pad>",
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| 14 |
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"sp_model_kwargs": {},
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| 15 |
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"spaces_between_special_tokens": false,
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| 16 |
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"tokenizer_class": "GemmaTokenizer",
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| 17 |
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"unk_token": "<unk>",
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| 18 |
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"use_default_system_prompt": false
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| 19 |
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}
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trainer_log_history.json
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training_metadata.json
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