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@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+checkpoint-348/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+library_name: peft
+license: other
+base_model: unsloth/gemma-2-9b-it-bnb-4bit
+tags:
+- llama-factory
+- lora
+- unsloth
+- generated_from_trainer
+model-index:
+- name: gemma2-9b-finetuned
+  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. -->
+
+# gemma2-9b-finetuned
+
+This model is a fine-tuned version of [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it) on the treino_pt_rde dataset.
+
+## 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: 3e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- num_epochs: 3.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.46.1
+- Pytorch 2.2.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

adapter_config.json

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+  "base_model_name_or_path": "unsloth/gemma-2-9b-it-bnb-4bit",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
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+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "v_proj",
+    "gate_proj",
+    "q_proj",
+    "down_proj",
+    "o_proj",
+    "up_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

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all_results.json

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+{
+    "epoch": 2.9935483870967743,
+    "total_flos": 1.8445406605964083e+17,
+    "train_loss": 0.07509650238629045,
+    "train_runtime": 10732.2973,
+    "train_samples_per_second": 1.039,
+    "train_steps_per_second": 0.032
+}

checkpoint-348/README.md

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+---
+base_model: unsloth/gemma-2-9b-it-bnb-4bit
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.12.0

checkpoint-348/adapter_config.json

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+    "v_proj",
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+  "use_dora": false,
+  "use_rslora": false
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checkpoint-348/training_args.bin

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llamaboard_config.yaml

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+top.booster: unsloth
+top.checkpoint_path: []
+top.finetuning_type: lora
+top.model_name: Gemma-2-9B-Instruct
+top.quantization_bit: '4'
+top.quantization_method: bitsandbytes
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+train.create_new_adapter: false
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+train.dataset:
+- treino_pt_rde
+train.dataset_dir: data
+train.ds_offload: false
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running_log.txt

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+[WARNING|2024-11-26 00:32:28] logging.py:162 >> We recommend enable `upcast_layernorm` in quantized training.
+
+[INFO|2024-11-26 00:32:28] parser.py:355 >> Process rank: 0, device: cuda:0, n_gpu: 1, distributed training: False, compute dtype: torch.float16
+
+[INFO|2024-11-26 00:32:28] configuration_utils.py:679 >> loading configuration file config.json from cache at /home/zeus/.cache/huggingface/hub/models--google--gemma-2-9b-it/snapshots/11c9b309abf73637e4b6f9a3fa1e92e615547819/config.json
+
+[INFO|2024-11-26 00:32:28] configuration_utils.py:746 >> Model config Gemma2Config {
+  "_name_or_path": "google/gemma-2-9b-it",
+  "architectures": [
+    "Gemma2ForCausalLM"
+  ],
+  "attention_bias": false,
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+}
+
+
+[INFO|2024-11-26 00:32:28] tokenization_utils_base.py:2211 >> loading file tokenizer.model from cache at /home/zeus/.cache/huggingface/hub/models--google--gemma-2-9b-it/snapshots/11c9b309abf73637e4b6f9a3fa1e92e615547819/tokenizer.model
+
+[INFO|2024-11-26 00:32:28] tokenization_utils_base.py:2211 >> loading file tokenizer.json from cache at /home/zeus/.cache/huggingface/hub/models--google--gemma-2-9b-it/snapshots/11c9b309abf73637e4b6f9a3fa1e92e615547819/tokenizer.json
+
+[INFO|2024-11-26 00:32:28] tokenization_utils_base.py:2211 >> loading file added_tokens.json from cache at None
+
+[INFO|2024-11-26 00:32:28] tokenization_utils_base.py:2211 >> loading file special_tokens_map.json from cache at /home/zeus/.cache/huggingface/hub/models--google--gemma-2-9b-it/snapshots/11c9b309abf73637e4b6f9a3fa1e92e615547819/special_tokens_map.json
+
+[INFO|2024-11-26 00:32:28] tokenization_utils_base.py:2211 >> loading file tokenizer_config.json from cache at /home/zeus/.cache/huggingface/hub/models--google--gemma-2-9b-it/snapshots/11c9b309abf73637e4b6f9a3fa1e92e615547819/tokenizer_config.json
+
+[INFO|2024-11-26 00:32:30] configuration_utils.py:679 >> loading configuration file config.json from cache at /home/zeus/.cache/huggingface/hub/models--google--gemma-2-9b-it/snapshots/11c9b309abf73637e4b6f9a3fa1e92e615547819/config.json
+
+[INFO|2024-11-26 00:32:30] configuration_utils.py:746 >> Model config Gemma2Config {
+  "_name_or_path": "google/gemma-2-9b-it",
+  "architectures": [
+    "Gemma2ForCausalLM"
+  ],
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+  "use_cache": true,
+  "vocab_size": 256000
+}
+
+
+[INFO|2024-11-26 00:32:30] tokenization_utils_base.py:2211 >> loading file tokenizer.model from cache at /home/zeus/.cache/huggingface/hub/models--google--gemma-2-9b-it/snapshots/11c9b309abf73637e4b6f9a3fa1e92e615547819/tokenizer.model
+
+[INFO|2024-11-26 00:32:30] tokenization_utils_base.py:2211 >> loading file tokenizer.json from cache at /home/zeus/.cache/huggingface/hub/models--google--gemma-2-9b-it/snapshots/11c9b309abf73637e4b6f9a3fa1e92e615547819/tokenizer.json
+
+[INFO|2024-11-26 00:32:30] tokenization_utils_base.py:2211 >> loading file added_tokens.json from cache at None
+
+[INFO|2024-11-26 00:32:30] tokenization_utils_base.py:2211 >> loading file special_tokens_map.json from cache at /home/zeus/.cache/huggingface/hub/models--google--gemma-2-9b-it/snapshots/11c9b309abf73637e4b6f9a3fa1e92e615547819/special_tokens_map.json
+
+[INFO|2024-11-26 00:32:30] tokenization_utils_base.py:2211 >> loading file tokenizer_config.json from cache at /home/zeus/.cache/huggingface/hub/models--google--gemma-2-9b-it/snapshots/11c9b309abf73637e4b6f9a3fa1e92e615547819/tokenizer_config.json
+
+[INFO|2024-11-26 00:32:31] logging.py:157 >> Loading dataset treino_pt_rde.json...
+
+[INFO|2024-11-26 00:32:44] configuration_utils.py:679 >> loading configuration file config.json from cache at /home/zeus/.cache/huggingface/hub/models--google--gemma-2-9b-it/snapshots/11c9b309abf73637e4b6f9a3fa1e92e615547819/config.json
+
+[INFO|2024-11-26 00:32:44] configuration_utils.py:746 >> Model config Gemma2Config {
+  "_name_or_path": "google/gemma-2-9b-it",
+  "architectures": [
+    "Gemma2ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "attn_logit_softcapping": 50.0,
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "eos_token_id": 1,
+  "final_logit_softcapping": 30.0,
+  "head_dim": 256,
+  "hidden_act": "gelu_pytorch_tanh",
+  "hidden_activation": "gelu_pytorch_tanh",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "model_type": "gemma2",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 42,
+  "num_key_value_heads": 8,
+  "pad_token_id": 0,
+  "query_pre_attn_scalar": 256,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "sliding_window_size": 4096,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.46.1",
+  "use_cache": true,
+  "vocab_size": 256000
+}
+
+
+[WARNING|2024-11-26 00:32:44] logging.py:162 >> Gemma-2 should use flash attention 2, change `flash_attn` to fa2.
+
+[INFO|2024-11-26 00:32:44] logging.py:157 >> Quantizing model to 4 bit with bitsandbytes.
+
+[INFO|2024-11-26 00:32:45] configuration_utils.py:679 >> loading configuration file config.json from cache at /home/zeus/.cache/huggingface/hub/models--unsloth--gemma-2-9b-it-bnb-4bit/snapshots/27b027bcbb6b1861b02551d5c699d5d07f29610a/config.json
+
+[INFO|2024-11-26 00:32:45] configuration_utils.py:746 >> Model config Gemma2Config {
+  "_name_or_path": "unsloth/gemma-2-9b-it-bnb-4bit",
+  "architectures": [
+    "Gemma2ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "attn_logit_softcapping": 50.0,
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "eos_token_id": 1,
+  "final_logit_softcapping": 30.0,
+  "head_dim": 256,
+  "hidden_act": "gelu_pytorch_tanh",
+  "hidden_activation": "gelu_pytorch_tanh",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "model_type": "gemma2",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 42,
+  "num_key_value_heads": 8,
+  "pad_token_id": 0,
+  "quantization_config": {
+    "_load_in_4bit": true,
+    "_load_in_8bit": false,
+    "bnb_4bit_compute_dtype": "bfloat16",
+    "bnb_4bit_quant_storage": "uint8",
+    "bnb_4bit_quant_type": "nf4",
+    "bnb_4bit_use_double_quant": true,
+    "llm_int8_enable_fp32_cpu_offload": false,
+    "llm_int8_has_fp16_weight": false,
+    "llm_int8_skip_modules": null,
+    "llm_int8_threshold": 6.0,
+    "load_in_4bit": true,
+    "load_in_8bit": false,
+    "quant_method": "bitsandbytes"
+  },
+  "query_pre_attn_scalar": 256,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "sliding_window_size": 4096,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.46.1",
+  "unsloth_version": "2024.9",
+  "use_cache": true,
+  "vocab_size": 256000
+}
+
+
+[INFO|2024-11-26 00:32:45] configuration_utils.py:679 >> loading configuration file config.json from cache at /home/zeus/.cache/huggingface/hub/models--unslothai--aws/snapshots/66e4c14a24a0b445779c922eef992a4af0694a88/config.json
+
+[INFO|2024-11-26 00:32:45] configuration_utils.py:679 >> loading configuration file config.json from cache at /home/zeus/.cache/huggingface/hub/models--unslothai--repeat/snapshots/7c48478c02f84ed89f149b0815cc0216ee831fb0/config.json
+
+[INFO|2024-11-26 00:32:46] configuration_utils.py:679 >> loading configuration file config.json from cache at /home/zeus/.cache/huggingface/hub/models--unslothai--vram-16/snapshots/9703344699da71a2bb9f17e575eb918c8f6cb349/config.json
+
+[INFO|2024-11-26 00:32:46] configuration_utils.py:679 >> loading configuration file config.json from cache at /home/zeus/.cache/huggingface/hub/models--unslothai--1/snapshots/7ec782b7604cd9ea0781c23a4270f031650f5617/config.json
+
+[INFO|2024-11-26 00:32:46] configuration_utils.py:679 >> loading configuration file config.json from cache at /home/zeus/.cache/huggingface/hub/models--unsloth--gemma-2-9b-it-bnb-4bit/snapshots/27b027bcbb6b1861b02551d5c699d5d07f29610a/config.json
+
+[INFO|2024-11-26 00:32:46] configuration_utils.py:746 >> Model config Gemma2Config {
+  "_name_or_path": "unsloth/gemma-2-9b-it-bnb-4bit",
+  "architectures": [
+    "Gemma2ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "attn_logit_softcapping": 50.0,
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "eos_token_id": 1,
+  "final_logit_softcapping": 30.0,
+  "head_dim": 256,
+  "hidden_act": "gelu_pytorch_tanh",
+  "hidden_activation": "gelu_pytorch_tanh",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "model_type": "gemma2",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 42,
+  "num_key_value_heads": 8,
+  "pad_token_id": 0,
+  "quantization_config": {
+    "_load_in_4bit": true,
+    "_load_in_8bit": false,
+    "bnb_4bit_compute_dtype": "bfloat16",
+    "bnb_4bit_quant_storage": "uint8",
+    "bnb_4bit_quant_type": "nf4",
+    "bnb_4bit_use_double_quant": true,
+    "llm_int8_enable_fp32_cpu_offload": false,
+    "llm_int8_has_fp16_weight": false,
+    "llm_int8_skip_modules": null,
+    "llm_int8_threshold": 6.0,
+    "load_in_4bit": true,
+    "load_in_8bit": false,
+    "quant_method": "bitsandbytes"
+  },
+  "query_pre_attn_scalar": 256,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "sliding_window_size": 4096,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.46.1",
+  "unsloth_version": "2024.9",
+  "use_cache": true,
+  "vocab_size": 256000
+}
+
+
+[INFO|2024-11-26 00:32:46] configuration_utils.py:679 >> loading configuration file config.json from cache at /home/zeus/.cache/huggingface/hub/models--unsloth--gemma-2-9b-it-bnb-4bit/snapshots/27b027bcbb6b1861b02551d5c699d5d07f29610a/config.json
+
+[INFO|2024-11-26 00:32:46] configuration_utils.py:746 >> Model config Gemma2Config {
+  "_name_or_path": "unsloth/gemma-2-9b-it-bnb-4bit",
+  "architectures": [
+    "Gemma2ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "attn_logit_softcapping": 50.0,
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "eos_token_id": 1,
+  "final_logit_softcapping": 30.0,
+  "head_dim": 256,
+  "hidden_act": "gelu_pytorch_tanh",
+  "hidden_activation": "gelu_pytorch_tanh",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "model_type": "gemma2",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 42,
+  "num_key_value_heads": 8,
+  "pad_token_id": 0,
+  "quantization_config": {
+    "_load_in_4bit": true,
+    "_load_in_8bit": false,
+    "bnb_4bit_compute_dtype": "bfloat16",
+    "bnb_4bit_quant_storage": "uint8",
+    "bnb_4bit_quant_type": "nf4",
+    "bnb_4bit_use_double_quant": true,
+    "llm_int8_enable_fp32_cpu_offload": false,
+    "llm_int8_has_fp16_weight": false,
+    "llm_int8_skip_modules": null,
+    "llm_int8_threshold": 6.0,
+    "load_in_4bit": true,
+    "load_in_8bit": false,
+    "quant_method": "bitsandbytes"
+  },
+  "query_pre_attn_scalar": 256,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "sliding_window_size": 4096,
+  "torch_dtype": "float16",
+  "transformers_version": "4.46.1",
+  "unsloth_version": "2024.9",
+  "use_cache": true,
+  "vocab_size": 256000
+}
+
+
+[INFO|2024-11-26 00:45:10] modeling_utils.py:3937 >> loading weights file model.safetensors from cache at /home/zeus/.cache/huggingface/hub/models--unsloth--gemma-2-9b-it-bnb-4bit/snapshots/27b027bcbb6b1861b02551d5c699d5d07f29610a/model.safetensors
+
+[INFO|2024-11-26 00:45:10] modeling_utils.py:1670 >> Instantiating Gemma2ForCausalLM model under default dtype torch.float16.
+
+[INFO|2024-11-26 00:45:10] configuration_utils.py:1096 >> Generate config GenerationConfig {
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "eos_token_id": 1,
+  "pad_token_id": 0
+}
+
+
+[INFO|2024-11-26 00:45:33] modeling_utils.py:4800 >> All model checkpoint weights were used when initializing Gemma2ForCausalLM.
+
+
+[INFO|2024-11-26 00:45:33] modeling_utils.py:4808 >> All the weights of Gemma2ForCausalLM were initialized from the model checkpoint at unsloth/gemma-2-9b-it-bnb-4bit.
+If your task is similar to the task the model of the checkpoint was trained on, you can already use Gemma2ForCausalLM for predictions without further training.
+
+[INFO|2024-11-26 00:45:33] configuration_utils.py:1051 >> loading configuration file generation_config.json from cache at /home/zeus/.cache/huggingface/hub/models--unsloth--gemma-2-9b-it-bnb-4bit/snapshots/27b027bcbb6b1861b02551d5c699d5d07f29610a/generation_config.json
+
+[INFO|2024-11-26 00:45:33] configuration_utils.py:1096 >> Generate config GenerationConfig {
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "eos_token_id": 1,
+  "max_length": 8192,
+  "pad_token_id": 0
+}
+
+
+[INFO|2024-11-26 00:45:40] logging.py:157 >> Gradient checkpointing enabled.
+
+[INFO|2024-11-26 00:45:40] logging.py:157 >> Upcasting trainable params to float32.
+
+[INFO|2024-11-26 00:45:40] logging.py:157 >> Fine-tuning method: LoRA
+
+[INFO|2024-11-26 00:45:40] logging.py:157 >> Found linear modules: k_proj,v_proj,gate_proj,q_proj,down_proj,o_proj,up_proj
+
+[WARNING|2024-11-26 00:45:42] logging.py:168 >> Unsloth 2024.11.9 patched 42 layers with 42 QKV layers, 42 O layers and 42 MLP layers.
+
+[INFO|2024-11-26 00:45:44] logging.py:157 >> trainable params: 27,009,024 || all params: 9,268,715,008 || trainable%: 0.2914
+
+[INFO|2024-11-26 00:45:44] trainer.py:698 >> Using auto half precision backend
+
+[WARNING|2024-11-26 00:45:44] <string>:208 >> ==((====))==  Unsloth - 2x faster free finetuning | Num GPUs = 1
+   \\   /|    Num examples = 3,716 | Num Epochs = 3
+O^O/ \_/ \    Batch size per device = 8 | Gradient Accumulation steps = 4
+\        /    Total batch size = 32 | Total steps = 348
+ "-____-"     Number of trainable parameters = 27,009,024
+
+[INFO|2024-11-26 00:51:16] logging.py:157 >> {'loss': 0.5356, 'learning_rate': 2.9939e-05, 'epoch': 0.09}
+
+[INFO|2024-11-26 00:56:24] logging.py:157 >> {'loss': 0.1187, 'learning_rate': 2.9756e-05, 'epoch': 0.17}
+
+[INFO|2024-11-26 01:01:29] logging.py:157 >> {'loss': 0.1068, 'learning_rate': 2.9453e-05, 'epoch': 0.26}
+
+[INFO|2024-11-26 01:06:35] logging.py:157 >> {'loss': 0.1000, 'learning_rate': 2.9033e-05, 'epoch': 0.34}
+
+[INFO|2024-11-26 01:11:39] logging.py:157 >> {'loss': 0.0900, 'learning_rate': 2.8498e-05, 'epoch': 0.43}
+
+[INFO|2024-11-26 01:16:47] logging.py:157 >> {'loss': 0.0831, 'learning_rate': 2.7853e-05, 'epoch': 0.52}
+
+[INFO|2024-11-26 01:21:57] logging.py:157 >> {'loss': 0.0802, 'learning_rate': 2.7103e-05, 'epoch': 0.60}
+
+[INFO|2024-11-26 01:27:07] logging.py:157 >> {'loss': 0.0719, 'learning_rate': 2.6255e-05, 'epoch': 0.69}
+
+[INFO|2024-11-26 01:32:21] logging.py:157 >> {'loss': 0.0744, 'learning_rate': 2.5315e-05, 'epoch': 0.77}
+
+[INFO|2024-11-26 01:37:33] logging.py:157 >> {'loss': 0.0696, 'learning_rate': 2.4292e-05, 'epoch': 0.86}
+
+[INFO|2024-11-26 01:42:35] logging.py:157 >> {'loss': 0.0636, 'learning_rate': 2.3192e-05, 'epoch': 0.95}
+
+[INFO|2024-11-26 01:47:47] logging.py:157 >> {'loss': 0.0716, 'learning_rate': 2.2026e-05, 'epoch': 1.03}
+
+[INFO|2024-11-26 01:52:57] logging.py:157 >> {'loss': 0.0530, 'learning_rate': 2.0803e-05, 'epoch': 1.12}
+
+[INFO|2024-11-26 01:58:06] logging.py:157 >> {'loss': 0.0544, 'learning_rate': 1.9532e-05, 'epoch': 1.20}
+
+[INFO|2024-11-26 02:03:09] logging.py:157 >> {'loss': 0.0570, 'learning_rate': 1.8225e-05, 'epoch': 1.29}
+
+[INFO|2024-11-26 02:08:17] logging.py:157 >> {'loss': 0.0609, 'learning_rate': 1.6891e-05, 'epoch': 1.38}
+
+[INFO|2024-11-26 02:13:25] logging.py:157 >> {'loss': 0.0603, 'learning_rate': 1.5542e-05, 'epoch': 1.46}
+
+[INFO|2024-11-26 02:18:35] logging.py:157 >> {'loss': 0.0574, 'learning_rate': 1.4188e-05, 'epoch': 1.55}
+
+[INFO|2024-11-26 02:23:39] logging.py:157 >> {'loss': 0.0533, 'learning_rate': 1.2841e-05, 'epoch': 1.63}
+
+[INFO|2024-11-26 02:28:45] logging.py:157 >> {'loss': 0.0546, 'learning_rate': 1.1511e-05, 'epoch': 1.72}
+
+[INFO|2024-11-26 02:33:57] logging.py:157 >> {'loss': 0.0555, 'learning_rate': 1.0210e-05, 'epoch': 1.81}
+
+[INFO|2024-11-26 02:39:06] logging.py:157 >> {'loss': 0.0552, 'learning_rate': 8.9485e-06, 'epoch': 1.89}
+
+[INFO|2024-11-26 02:44:11] logging.py:157 >> {'loss': 0.0527, 'learning_rate': 7.7358e-06, 'epoch': 1.98}
+
+[INFO|2024-11-26 02:49:14] logging.py:157 >> {'loss': 0.0476, 'learning_rate': 6.5822e-06, 'epoch': 2.06}
+
+[INFO|2024-11-26 02:54:22] logging.py:157 >> {'loss': 0.0501, 'learning_rate': 5.4972e-06, 'epoch': 2.15}
+
+[INFO|2024-11-26 02:59:33] logging.py:157 >> {'loss': 0.0524, 'learning_rate': 4.4896e-06, 'epoch': 2.24}
+
+[INFO|2024-11-26 03:04:37] logging.py:157 >> {'loss': 0.0384, 'learning_rate': 3.5676e-06, 'epoch': 2.32}
+
+[INFO|2024-11-26 03:09:52] logging.py:157 >> {'loss': 0.0424, 'learning_rate': 2.7387e-06, 'epoch': 2.41}
+
+[INFO|2024-11-26 03:14:57] logging.py:157 >> {'loss': 0.0480, 'learning_rate': 2.0096e-06, 'epoch': 2.49}
+
+[INFO|2024-11-26 03:20:06] logging.py:157 >> {'loss': 0.0402, 'learning_rate': 1.3864e-06, 'epoch': 2.58}
+
+[INFO|2024-11-26 03:25:13] logging.py:157 >> {'loss': 0.0430, 'learning_rate': 8.7399e-07, 'epoch': 2.67}
+
+[INFO|2024-11-26 03:30:18] logging.py:157 >> {'loss': 0.0466, 'learning_rate': 4.7666e-07, 'epoch': 2.75}
+
+[INFO|2024-11-26 03:35:24] logging.py:157 >> {'loss': 0.0474, 'learning_rate': 1.9760e-07, 'epoch': 2.84}
+
+[INFO|2024-11-26 03:40:30] logging.py:157 >> {'loss': 0.0462, 'learning_rate': 3.9102e-08, 'epoch': 2.92}
+
+[INFO|2024-11-26 03:44:36] trainer.py:3801 >> Saving model checkpoint to saves/Gemma-2-9B-Instruct/lora/gemma2-9b-finetuned/checkpoint-348
+
+[INFO|2024-11-26 03:44:36] configuration_utils.py:679 >> loading configuration file config.json from cache at /home/zeus/.cache/huggingface/hub/models--unsloth--gemma-2-9b-it-bnb-4bit/snapshots/27b027bcbb6b1861b02551d5c699d5d07f29610a/config.json
+
+[INFO|2024-11-26 03:44:36] configuration_utils.py:746 >> Model config Gemma2Config {
+  "_name_or_path": "unsloth/gemma-2-9b-it",
+  "architectures": [
+    "Gemma2ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "attn_logit_softcapping": 50.0,
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "eos_token_id": 1,
+  "final_logit_softcapping": 30.0,
+  "head_dim": 256,
+  "hidden_act": "gelu_pytorch_tanh",
+  "hidden_activation": "gelu_pytorch_tanh",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "model_type": "gemma2",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 42,
+  "num_key_value_heads": 8,
+  "pad_token_id": 0,
+  "quantization_config": {
+    "_load_in_4bit": true,
+    "_load_in_8bit": false,
+    "bnb_4bit_compute_dtype": "bfloat16",
+    "bnb_4bit_quant_storage": "uint8",
+    "bnb_4bit_quant_type": "nf4",
+    "bnb_4bit_use_double_quant": true,
+    "llm_int8_enable_fp32_cpu_offload": false,
+    "llm_int8_has_fp16_weight": false,
+    "llm_int8_skip_modules": null,
+    "llm_int8_threshold": 6.0,
+    "load_in_4bit": true,
+    "load_in_8bit": false,
+    "quant_method": "bitsandbytes"
+  },
+  "query_pre_attn_scalar": 256,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "sliding_window_size": 4096,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.46.1",
+  "unsloth_version": "2024.9",
+  "use_cache": true,
+  "vocab_size": 256000
+}
+
+
+[INFO|2024-11-26 03:44:38] <string>:484 >> 
+
+Training completed. Do not forget to share your model on huggingface.co/models =)
+
+
+
+[INFO|2024-11-26 03:44:38] trainer.py:3801 >> Saving model checkpoint to saves/Gemma-2-9B-Instruct/lora/gemma2-9b-finetuned
+
+[INFO|2024-11-26 03:44:38] configuration_utils.py:679 >> loading configuration file config.json from cache at /home/zeus/.cache/huggingface/hub/models--unsloth--gemma-2-9b-it-bnb-4bit/snapshots/27b027bcbb6b1861b02551d5c699d5d07f29610a/config.json
+
+[INFO|2024-11-26 03:44:38] configuration_utils.py:746 >> Model config Gemma2Config {
+  "_name_or_path": "unsloth/gemma-2-9b-it",
+  "architectures": [
+    "Gemma2ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "attn_logit_softcapping": 50.0,
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "eos_token_id": 1,
+  "final_logit_softcapping": 30.0,
+  "head_dim": 256,
+  "hidden_act": "gelu_pytorch_tanh",
+  "hidden_activation": "gelu_pytorch_tanh",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "model_type": "gemma2",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 42,
+  "num_key_value_heads": 8,
+  "pad_token_id": 0,
+  "quantization_config": {
+    "_load_in_4bit": true,
+    "_load_in_8bit": false,
+    "bnb_4bit_compute_dtype": "bfloat16",
+    "bnb_4bit_quant_storage": "uint8",
+    "bnb_4bit_quant_type": "nf4",
+    "bnb_4bit_use_double_quant": true,
+    "llm_int8_enable_fp32_cpu_offload": false,
+    "llm_int8_has_fp16_weight": false,
+    "llm_int8_skip_modules": null,
+    "llm_int8_threshold": 6.0,
+    "load_in_4bit": true,
+    "load_in_8bit": false,
+    "quant_method": "bitsandbytes"
+  },
+  "query_pre_attn_scalar": 256,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "sliding_window_size": 4096,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.46.1",
+  "unsloth_version": "2024.9",
+  "use_cache": true,
+  "vocab_size": 256000
+}
+
+
+[WARNING|2024-11-26 03:44:38] logging.py:162 >> No metric eval_loss to plot.
+
+[WARNING|2024-11-26 03:44:38] logging.py:162 >> No metric eval_accuracy to plot.
+
+[INFO|2024-11-26 03:44:38] modelcard.py:449 >> Dropping the following result as it does not have all the necessary fields:
+{'task': {'name': 'Causal Language Modeling', 'type': 'text-generation'}}
+

special_tokens_map.json

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+    "<end_of_turn>"
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tokenizer.json

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tokenizer.model

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+oid sha256:61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
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tokenizer_config.json

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train_results.json

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+}

trainer_log.jsonl

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