End of training

README.md

@@ -0,0 +1,172 @@
+---
+library_name: peft
+base_model: HuggingFaceH4/tiny-random-LlamaForCausalLM
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: f4d3be25-28c8-4c9a-bfec-b886202a757b
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.1`
+```yaml
+adapter: lora
+base_model: HuggingFaceH4/tiny-random-LlamaForCausalLM
+bf16: auto
+chat_template: llama3
+cosine_min_lr_ratio: 0.1
+data_processes: 16
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - 5a6e8b9ebf7c1456_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/5a6e8b9ebf7c1456_train_data.json
+  type:
+    field_instruction: context
+    field_output: question
+    format: '{instruction}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+device_map: '{'''':torch.cuda.current_device()}'
+do_eval: true
+early_stopping_patience: 1
+eval_batch_size: 6
+eval_sample_packing: false
+eval_steps: 25
+evaluation_strategy: steps
+flash_attention: true
+fp16: null
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 5
+gradient_checkpointing: true
+group_by_length: true
+hub_model_id: null
+hub_repo: stevemonite
+hub_strategy: checkpoint
+hub_token: null
+learning_rate: 0.0003
+load_in_4bit: false
+load_in_8bit: false
+local_rank: null
+logging_steps: 1
+lora_alpha: 64
+lora_dropout: 0.05
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 32
+lora_target_linear: true
+lora_target_modules:
+- q_proj
+- v_proj
+lr_scheduler: cosine
+max_grad_norm: 1.0
+max_memory:
+  0: 70GiB
+max_steps: 71
+micro_batch_size: 6
+mlflow_experiment_name: /tmp/5a6e8b9ebf7c1456_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 2
+optim_args:
+  adam_beta1: 0.9
+  adam_beta2: 0.95
+  adam_epsilon: 1e-5
+optimizer: adamw_torch
+output_dir: miner_id_24
+pad_to_sequence_len: true
+resume_from_checkpoint: null
+s2_attention: null
+sample_packing: false
+save_steps: 50
+save_strategy: steps
+sequence_len: 2048
+special_tokens:
+  pad_token: </s>
+strict: false
+tf32: false
+tokenizer_type: AutoTokenizer
+torch_compile: false
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 50
+wandb_entity: sn56-miner
+wandb_mode: disabled
+wandb_name: null
+wandb_project: god
+wandb_run: xxju
+wandb_runid: null
+warmup_raio: 0.03
+warmup_ratio: 0.03
+weight_decay: 0.01
+xformers_attention: null
+
+```
+
+</details><br>
+
+# f4d3be25-28c8-4c9a-bfec-b886202a757b
+
+This model is a fine-tuned version of [HuggingFaceH4/tiny-random-LlamaForCausalLM](https://huggingface.co/HuggingFaceH4/tiny-random-LlamaForCausalLM) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 10.3363
+
+## 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: 0.0003
+- train_batch_size: 6
+- eval_batch_size: 6
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 5
+- total_train_batch_size: 120
+- total_eval_batch_size: 24
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=adam_beta1=0.9,adam_beta2=0.95,adam_epsilon=1e-5
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 2
+- training_steps: 71
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 10.3721       | 0.0016 | 1    | 10.3743         |
+| 10.3427       | 0.0404 | 25   | 10.3433         |
+| 10.332        | 0.0807 | 50   | 10.3363         |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.5.0+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.1

adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "HuggingFaceH4/tiny-random-LlamaForCausalLM",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "v_proj",
+    "down_proj",
+    "o_proj",
+    "gate_proj",
+    "up_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e0a28adec49aba6d46f8e8612320c184e740110466160da55cd82b86d9c3bd3c
+size 104322

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:19a5076a9dee0a6557bf7897d90458b3e0be379309da92e99d37deade37c4dba
+size 97728

config.json

@@ -0,0 +1,32 @@
+{
+  "_attn_implementation_autoset": true,
+  "_name_or_path": "HuggingFaceH4/tiny-random-LlamaForCausalLM",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "eos_token_id": 2,
+  "head_dim": 4,
+  "hidden_act": "silu",
+  "hidden_size": 16,
+  "initializer_range": 0.02,
+  "intermediate_size": 64,
+  "max_position_embeddings": 2048,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 4,
+  "num_hidden_layers": 2,
+  "num_key_value_heads": 4,
+  "pad_token_id": -1,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.46.0",
+  "use_cache": false,
+  "vocab_size": 32000
+}

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: HuggingFaceH4/tiny-random-LlamaForCausalLM
+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 0.13.2

last-checkpoint/adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "HuggingFaceH4/tiny-random-LlamaForCausalLM",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "v_proj",
+    "down_proj",
+    "o_proj",
+    "gate_proj",
+    "up_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

last-checkpoint/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:21865deab8e08590caa4f32b91e6da45b87b96e0decc6d1e9476a0ebcf06f236
+size 97728

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4b497bae75a740ca888cb72c0231e47698ab8d2be12d23422a13eb85408832e4
+size 212298

last-checkpoint/rng_state_0.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a9947da446ad2787751e14773cf0188531fdcc1c60ef742c2d8e2e22517816d7
+size 14960

last-checkpoint/rng_state_1.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:239c76bcae949bcb67c345c1ff85329b64b9b6a69a495d4f658abdf94113ecbc
+size 15024

last-checkpoint/rng_state_2.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0ca3b942e4dfeb61990e209d27ab7d70342ac4ae28ac6d01f2c8080d4a93f4e7
+size 15024

last-checkpoint/rng_state_3.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0d29a5db5901373a16ba32b61302aee64f75886321b6d4fe883718b29f468917
+size 15024

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:544f6ccb4622164946a8bd8e21374fc5cfa8e8262c8720a1374851949c7e26c1
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

last-checkpoint/tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
+size 499723

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,42 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 2048,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,563 @@
+{
+  "best_metric": 10.336307525634766,
+  "best_model_checkpoint": "miner_id_24/checkpoint-50",
+  "epoch": 0.1146640826873385,
+  "eval_steps": 25,
+  "global_step": 71,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.001614987080103359,
+      "grad_norm": 0.060144778341054916,
+      "learning_rate": 0.00015,
+      "loss": 10.3721,
+      "step": 1
+    },
+    {
+      "epoch": 0.001614987080103359,
+      "eval_loss": 10.374292373657227,
+      "eval_runtime": 0.0553,
+      "eval_samples_per_second": 903.711,
+      "eval_steps_per_second": 54.223,
+      "step": 1
+    },
+    {
+      "epoch": 0.003229974160206718,
+      "grad_norm": 0.05838553234934807,
+      "learning_rate": 0.0003,
+      "loss": 10.3717,
+      "step": 2
+    },
+    {
+      "epoch": 0.0048449612403100775,
+      "grad_norm": 0.06211625039577484,
+      "learning_rate": 0.0002998600959423082,
+      "loss": 10.3706,
+      "step": 3
+    },
+    {
+      "epoch": 0.006459948320413436,
+      "grad_norm": 0.06348743289709091,
+      "learning_rate": 0.0002994406737417567,
+      "loss": 10.3702,
+      "step": 4
+    },
+    {
+      "epoch": 0.008074935400516795,
+      "grad_norm": 0.0670604556798935,
+      "learning_rate": 0.00029874260271490463,
+      "loss": 10.3687,
+      "step": 5
+    },
+    {
+      "epoch": 0.009689922480620155,
+      "grad_norm": 0.069881372153759,
+      "learning_rate": 0.00029776732972055516,
+      "loss": 10.3693,
+      "step": 6
+    },
+    {
+      "epoch": 0.011304909560723515,
+      "grad_norm": 0.08161191642284393,
+      "learning_rate": 0.0002965168761609197,
+      "loss": 10.3677,
+      "step": 7
+    },
+    {
+      "epoch": 0.012919896640826873,
+      "grad_norm": 0.08520465344190598,
+      "learning_rate": 0.0002949938337919529,
+      "loss": 10.3677,
+      "step": 8
+    },
+    {
+      "epoch": 0.014534883720930232,
+      "grad_norm": 0.09009241312742233,
+      "learning_rate": 0.0002932013593515431,
+      "loss": 10.365,
+      "step": 9
+    },
+    {
+      "epoch": 0.01614987080103359,
+      "grad_norm": 0.09783443063497543,
+      "learning_rate": 0.00029114316801669057,
+      "loss": 10.3648,
+      "step": 10
+    },
+    {
+      "epoch": 0.01776485788113695,
+      "grad_norm": 0.10501207411289215,
+      "learning_rate": 0.00028882352570323616,
+      "loss": 10.363,
+      "step": 11
+    },
+    {
+      "epoch": 0.01937984496124031,
+      "grad_norm": 0.11170078814029694,
+      "learning_rate": 0.00028624724022409897,
+      "loss": 10.3631,
+      "step": 12
+    },
+    {
+      "epoch": 0.02099483204134367,
+      "grad_norm": 0.1278601884841919,
+      "learning_rate": 0.0002834196513243502,
+      "loss": 10.3582,
+      "step": 13
+    },
+    {
+      "epoch": 0.02260981912144703,
+      "grad_norm": 0.13118207454681396,
+      "learning_rate": 0.0002803466196137759,
+      "loss": 10.3578,
+      "step": 14
+    },
+    {
+      "epoch": 0.02422480620155039,
+      "grad_norm": 0.13799789547920227,
+      "learning_rate": 0.00027703451441986836,
+      "loss": 10.3548,
+      "step": 15
+    },
+    {
+      "epoch": 0.025839793281653745,
+      "grad_norm": 0.13469068706035614,
+      "learning_rate": 0.000273490200586422,
+      "loss": 10.3531,
+      "step": 16
+    },
+    {
+      "epoch": 0.027454780361757105,
+      "grad_norm": 0.12834832072257996,
+      "learning_rate": 0.00026972102424509665,
+      "loss": 10.3529,
+      "step": 17
+    },
+    {
+      "epoch": 0.029069767441860465,
+      "grad_norm": 0.12865591049194336,
+      "learning_rate": 0.00026573479758943753,
+      "loss": 10.3515,
+      "step": 18
+    },
+    {
+      "epoch": 0.030684754521963824,
+      "grad_norm": 0.12713314592838287,
+      "learning_rate": 0.0002615397826829114,
+      "loss": 10.3504,
+      "step": 19
+    },
+    {
+      "epoch": 0.03229974160206718,
+      "grad_norm": 0.11311966925859451,
+      "learning_rate": 0.0002571446743345183,
+      "loss": 10.3474,
+      "step": 20
+    },
+    {
+      "epoch": 0.03391472868217054,
+      "grad_norm": 0.10431112349033356,
+      "learning_rate": 0.00025255858207747205,
+      "loss": 10.3458,
+      "step": 21
+    },
+    {
+      "epoch": 0.0355297157622739,
+      "grad_norm": 0.08799866586923599,
+      "learning_rate": 0.0002477910112883017,
+      "loss": 10.3447,
+      "step": 22
+    },
+    {
+      "epoch": 0.03714470284237726,
+      "grad_norm": 0.08381524682044983,
+      "learning_rate": 0.00024285184348550706,
+      "loss": 10.3429,
+      "step": 23
+    },
+    {
+      "epoch": 0.03875968992248062,
+      "grad_norm": 0.07663460075855255,
+      "learning_rate": 0.0002377513158486027,
+      "loss": 10.3418,
+      "step": 24
+    },
+    {
+      "epoch": 0.04037467700258398,
+      "grad_norm": 0.08272749930620193,
+      "learning_rate": 0.00023249999999999999,
+      "loss": 10.3427,
+      "step": 25
+    },
+    {
+      "epoch": 0.04037467700258398,
+      "eval_loss": 10.34329605102539,
+      "eval_runtime": 0.0528,
+      "eval_samples_per_second": 946.304,
+      "eval_steps_per_second": 56.778,
+      "step": 25
+    },
+    {
+      "epoch": 0.04198966408268734,
+      "grad_norm": 0.058701954782009125,
+      "learning_rate": 0.00022710878009370554,
+      "loss": 10.3429,
+      "step": 26
+    },
+    {
+      "epoch": 0.0436046511627907,
+      "grad_norm": 0.06109394133090973,
+      "learning_rate": 0.00022158883025624965,
+      "loss": 10.3406,
+      "step": 27
+    },
+    {
+      "epoch": 0.04521963824289406,
+      "grad_norm": 0.06125456467270851,
+      "learning_rate": 0.0002159515914266029,
+      "loss": 10.3389,
+      "step": 28
+    },
+    {
+      "epoch": 0.04683462532299742,
+      "grad_norm": 0.05576397478580475,
+      "learning_rate": 0.0002102087476430831,
+      "loss": 10.3395,
+      "step": 29
+    },
+    {
+      "epoch": 0.04844961240310078,
+      "grad_norm": 0.05186418071389198,
+      "learning_rate": 0.00020437220182640135,
+      "loss": 10.3398,
+      "step": 30
+    },
+    {
+      "epoch": 0.05006459948320414,
+      "grad_norm": 0.05386773869395256,
+      "learning_rate": 0.00019845405110904146,
+      "loss": 10.3392,
+      "step": 31
+    },
+    {
+      "epoch": 0.05167958656330749,
+      "grad_norm": 0.04602474346756935,
+      "learning_rate": 0.00019246656176210558,
+      "loss": 10.3386,
+      "step": 32
+    },
+    {
+      "epoch": 0.05329457364341085,
+      "grad_norm": 0.05505594238638878,
+      "learning_rate": 0.0001864221437715939,
+      "loss": 10.3384,
+      "step": 33
+    },
+    {
+      "epoch": 0.05490956072351421,
+      "grad_norm": 0.04987030103802681,
+      "learning_rate": 0.0001803333251168141,
+      "loss": 10.336,
+      "step": 34
+    },
+    {
+      "epoch": 0.05652454780361757,
+      "grad_norm": 0.043966956436634064,
+      "learning_rate": 0.00017421272580423058,
+      "loss": 10.338,
+      "step": 35
+    },
+    {
+      "epoch": 0.05813953488372093,
+      "grad_norm": 0.04973195120692253,
+      "learning_rate": 0.00016807303171057425,
+      "loss": 10.3365,
+      "step": 36
+    },
+    {
+      "epoch": 0.05975452196382429,
+      "grad_norm": 0.04590706154704094,
+      "learning_rate": 0.00016192696828942573,
+      "loss": 10.3366,
+      "step": 37
+    },
+    {
+      "epoch": 0.06136950904392765,
+      "grad_norm": 0.05704723298549652,
+      "learning_rate": 0.00015578727419576942,
+      "loss": 10.3354,
+      "step": 38
+    },
+    {
+      "epoch": 0.06298449612403101,
+      "grad_norm": 0.04313088580965996,
+      "learning_rate": 0.00014966667488318586,
+      "loss": 10.3373,
+      "step": 39
+    },
+    {
+      "epoch": 0.06459948320413436,
+      "grad_norm": 0.05099692568182945,
+      "learning_rate": 0.00014357785622840606,
+      "loss": 10.3366,
+      "step": 40
+    },
+    {
+      "epoch": 0.06621447028423773,
+      "grad_norm": 0.04435805603861809,
+      "learning_rate": 0.00013753343823789445,
+      "loss": 10.3366,
+      "step": 41
+    },
+    {
+      "epoch": 0.06782945736434108,
+      "grad_norm": 0.052016858011484146,
+      "learning_rate": 0.00013154594889095854,
+      "loss": 10.335,
+      "step": 42
+    },
+    {
+      "epoch": 0.06944444444444445,
+      "grad_norm": 0.05064675211906433,
+      "learning_rate": 0.00012562779817359865,
+      "loss": 10.3359,
+      "step": 43
+    },
+    {
+      "epoch": 0.0710594315245478,
+      "grad_norm": 0.05927170813083649,
+      "learning_rate": 0.00011979125235691685,
+      "loss": 10.3343,
+      "step": 44
+    },
+    {
+      "epoch": 0.07267441860465117,
+      "grad_norm": 0.049980998039245605,
+      "learning_rate": 0.00011404840857339706,
+      "loss": 10.3346,
+      "step": 45
+    },
+    {
+      "epoch": 0.07428940568475452,
+      "grad_norm": 0.04975796490907669,
+      "learning_rate": 0.0001084111697437504,
+      "loss": 10.334,
+      "step": 46
+    },
+    {
+      "epoch": 0.07590439276485789,
+      "grad_norm": 0.05702081695199013,
+      "learning_rate": 0.00010289121990629447,
+      "loss": 10.3338,
+      "step": 47
+    },
+    {
+      "epoch": 0.07751937984496124,
+      "grad_norm": 0.06157432496547699,
+      "learning_rate": 9.750000000000003e-05,
+      "loss": 10.3325,
+      "step": 48
+    },
+    {
+      "epoch": 0.0791343669250646,
+      "grad_norm": 0.06715147942304611,
+      "learning_rate": 9.22486841513973e-05,
+      "loss": 10.3317,
+      "step": 49
+    },
+    {
+      "epoch": 0.08074935400516796,
+      "grad_norm": 0.05393562093377113,
+      "learning_rate": 8.714815651449293e-05,
+      "loss": 10.332,
+      "step": 50
+    },
+    {
+      "epoch": 0.08074935400516796,
+      "eval_loss": 10.336307525634766,
+      "eval_runtime": 0.0531,
+      "eval_samples_per_second": 942.328,
+      "eval_steps_per_second": 56.54,
+      "step": 50
+    },
+    {
+      "epoch": 0.08236434108527131,
+      "grad_norm": 0.06667087227106094,
+      "learning_rate": 8.220898871169827e-05,
+      "loss": 10.3355,
+      "step": 51
+    },
+    {
+      "epoch": 0.08397932816537468,
+      "grad_norm": 0.06240332871675491,
+      "learning_rate": 7.744141792252794e-05,
+      "loss": 10.3335,
+      "step": 52
+    },
+    {
+      "epoch": 0.08559431524547803,
+      "grad_norm": 0.061197634786367416,
+      "learning_rate": 7.285532566548172e-05,
+      "loss": 10.3336,
+      "step": 53
+    },
+    {
+      "epoch": 0.0872093023255814,
+      "grad_norm": 0.06306872516870499,
+      "learning_rate": 6.846021731708856e-05,
+      "loss": 10.3345,
+      "step": 54
+    },
+    {
+      "epoch": 0.08882428940568475,
+      "grad_norm": 0.0639386773109436,
+      "learning_rate": 6.426520241056245e-05,
+      "loss": 10.3335,
+      "step": 55
+    },
+    {
+      "epoch": 0.09043927648578812,
+      "grad_norm": 0.06657017767429352,
+      "learning_rate": 6.0278975754903317e-05,
+      "loss": 10.3319,
+      "step": 56
+    },
+    {
+      "epoch": 0.09205426356589147,
+      "grad_norm": 0.06972195208072662,
+      "learning_rate": 5.6509799413577934e-05,
+      "loss": 10.3338,
+      "step": 57
+    },
+    {
+      "epoch": 0.09366925064599484,
+      "grad_norm": 0.06879620254039764,
+      "learning_rate": 5.296548558013161e-05,
+      "loss": 10.3332,
+      "step": 58
+    },
+    {
+      "epoch": 0.09528423772609819,
+      "grad_norm": 0.07011278718709946,
+      "learning_rate": 4.9653380386224046e-05,
+      "loss": 10.3303,
+      "step": 59
+    },
+    {
+      "epoch": 0.09689922480620156,
+      "grad_norm": 0.07088246941566467,
+      "learning_rate": 4.658034867564977e-05,
+      "loss": 10.3298,
+      "step": 60
+    },
+    {
+      "epoch": 0.09851421188630491,
+      "grad_norm": 0.07106033712625504,
+      "learning_rate": 4.375275977590104e-05,
+      "loss": 10.3291,
+      "step": 61
+    },
+    {
+      "epoch": 0.10012919896640828,
+      "grad_norm": 0.07251573354005814,
+      "learning_rate": 4.117647429676387e-05,
+      "loss": 10.3304,
+      "step": 62
+    },
+    {
+      "epoch": 0.10174418604651163,
+      "grad_norm": 0.07086535543203354,
+      "learning_rate": 3.885683198330941e-05,
+      "loss": 10.3327,
+      "step": 63
+    },
+    {
+      "epoch": 0.10335917312661498,
+      "grad_norm": 0.07405930012464523,
+      "learning_rate": 3.679864064845691e-05,
+      "loss": 10.3308,
+      "step": 64
+    },
+    {
+      "epoch": 0.10497416020671835,
+      "grad_norm": 0.07449465990066528,
+      "learning_rate": 3.500616620804712e-05,
+      "loss": 10.3295,
+      "step": 65
+    },
+    {
+      "epoch": 0.1065891472868217,
+      "grad_norm": 0.06913011521100998,
+      "learning_rate": 3.348312383908033e-05,
+      "loss": 10.3298,
+      "step": 66
+    },
+    {
+      "epoch": 0.10820413436692507,
+      "grad_norm": 0.06790976226329803,
+      "learning_rate": 3.223267027944483e-05,
+      "loss": 10.3306,
+      "step": 67
+    },
+    {
+      "epoch": 0.10981912144702842,
+      "grad_norm": 0.06618337333202362,
+      "learning_rate": 3.125739728509535e-05,
+      "loss": 10.3305,
+      "step": 68
+    },
+    {
+      "epoch": 0.11143410852713179,
+      "grad_norm": 0.06993363052606583,
+      "learning_rate": 3.055932625824328e-05,
+      "loss": 10.3292,
+      "step": 69
+    },
+    {
+      "epoch": 0.11304909560723514,
+      "grad_norm": 0.07217420637607574,
+      "learning_rate": 3.0139904057691777e-05,
+      "loss": 10.3311,
+      "step": 70
+    },
+    {
+      "epoch": 0.1146640826873385,
+      "grad_norm": 0.06785973906517029,
+      "learning_rate": 2.9999999999999997e-05,
+      "loss": 10.3298,
+      "step": 71
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 71,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 50,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 1,
+        "early_stopping_threshold": 0.0
+      },
+      "attributes": {
+        "early_stopping_patience_counter": 0
+      }
+    },
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 57095359561728.0,
+  "train_batch_size": 6,
+  "trial_name": null,
+  "trial_params": null
+}

last-checkpoint/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eec23fd1a8611230c4e04d74136a5d3ad8ddf45a5c3d42540e2d699d9312b935
+size 6776

special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
+size 499723

tokenizer_config.json

@@ -0,0 +1,42 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 2048,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eec23fd1a8611230c4e04d74136a5d3ad8ddf45a5c3d42540e2d699d9312b935
+size 6776