Training in progress, step 44, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: NousResearch/Yarn-Llama-2-7b-128k
+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": "NousResearch/Yarn-Llama-2-7b-128k",
+  "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": 128,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "up_proj",
+    "k_proj",
+    "gate_proj",
+    "down_proj",
+    "v_proj",
+    "o_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:eeab0d190c75aec7a0676100ced1227b6a8668dd805d0f164505c60c437980b9
+size 639691872

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f2f3d3627c44eebea8b79c380274ad06b6f2926c2f36f4a39edbf30187f1504
+size 325339796

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2934b0b2bdbfff660d741e4f34f298500b91385596b4679710487bab98cbcecd
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:74384ee4f4d516692f488cd2897f31d93127b8f052b6b6c3deb94eb2492306b3
+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": "<unk>",
+    "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 +1,43 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": true,
+  "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": true,
+      "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": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<unk>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,358 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 3.124463519313305,
+  "eval_steps": 50,
+  "global_step": 44,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.06866952789699571,
+      "grad_norm": 71.51506042480469,
+      "learning_rate": 5e-06,
+      "loss": 28.3366,
+      "step": 1
+    },
+    {
+      "epoch": 0.06866952789699571,
+      "eval_loss": 1.670872449874878,
+      "eval_runtime": 6.2032,
+      "eval_samples_per_second": 7.899,
+      "eval_steps_per_second": 2.096,
+      "step": 1
+    },
+    {
+      "epoch": 0.13733905579399142,
+      "grad_norm": 68.20951843261719,
+      "learning_rate": 1e-05,
+      "loss": 25.6432,
+      "step": 2
+    },
+    {
+      "epoch": 0.20600858369098712,
+      "grad_norm": 80.32080078125,
+      "learning_rate": 1.5e-05,
+      "loss": 28.4214,
+      "step": 3
+    },
+    {
+      "epoch": 0.27467811158798283,
+      "grad_norm": 68.32494354248047,
+      "learning_rate": 2e-05,
+      "loss": 26.3899,
+      "step": 4
+    },
+    {
+      "epoch": 0.34334763948497854,
+      "grad_norm": 53.57563781738281,
+      "learning_rate": 2.5e-05,
+      "loss": 24.8964,
+      "step": 5
+    },
+    {
+      "epoch": 0.41201716738197425,
+      "grad_norm": 41.535865783691406,
+      "learning_rate": 3e-05,
+      "loss": 22.6295,
+      "step": 6
+    },
+    {
+      "epoch": 0.48068669527896996,
+      "grad_norm": 35.4793701171875,
+      "learning_rate": 3.5e-05,
+      "loss": 21.0718,
+      "step": 7
+    },
+    {
+      "epoch": 0.5493562231759657,
+      "grad_norm": 27.92133140563965,
+      "learning_rate": 4e-05,
+      "loss": 17.8598,
+      "step": 8
+    },
+    {
+      "epoch": 0.6180257510729614,
+      "grad_norm": 23.524612426757812,
+      "learning_rate": 4.5e-05,
+      "loss": 15.9413,
+      "step": 9
+    },
+    {
+      "epoch": 0.6866952789699571,
+      "grad_norm": 21.849180221557617,
+      "learning_rate": 5e-05,
+      "loss": 14.0453,
+      "step": 10
+    },
+    {
+      "epoch": 0.7553648068669528,
+      "grad_norm": 22.79987907409668,
+      "learning_rate": 5.500000000000001e-05,
+      "loss": 12.4121,
+      "step": 11
+    },
+    {
+      "epoch": 0.8240343347639485,
+      "grad_norm": 28.22759246826172,
+      "learning_rate": 6e-05,
+      "loss": 11.8626,
+      "step": 12
+    },
+    {
+      "epoch": 0.8927038626609443,
+      "grad_norm": 27.044172286987305,
+      "learning_rate": 6.500000000000001e-05,
+      "loss": 10.725,
+      "step": 13
+    },
+    {
+      "epoch": 0.9613733905579399,
+      "grad_norm": 31.80463409423828,
+      "learning_rate": 7e-05,
+      "loss": 11.4271,
+      "step": 14
+    },
+    {
+      "epoch": 1.0643776824034334,
+      "grad_norm": 23.66387367248535,
+      "learning_rate": 7.500000000000001e-05,
+      "loss": 9.8895,
+      "step": 15
+    },
+    {
+      "epoch": 1.1330472103004292,
+      "grad_norm": 18.42772674560547,
+      "learning_rate": 8e-05,
+      "loss": 7.9848,
+      "step": 16
+    },
+    {
+      "epoch": 1.201716738197425,
+      "grad_norm": 16.588830947875977,
+      "learning_rate": 8.5e-05,
+      "loss": 7.3708,
+      "step": 17
+    },
+    {
+      "epoch": 1.2703862660944205,
+      "grad_norm": 18.946819305419922,
+      "learning_rate": 9e-05,
+      "loss": 6.2703,
+      "step": 18
+    },
+    {
+      "epoch": 1.3390557939914163,
+      "grad_norm": 14.745619773864746,
+      "learning_rate": 9.5e-05,
+      "loss": 6.0982,
+      "step": 19
+    },
+    {
+      "epoch": 1.407725321888412,
+      "grad_norm": 23.77857208251953,
+      "learning_rate": 0.0001,
+      "loss": 8.2525,
+      "step": 20
+    },
+    {
+      "epoch": 1.4763948497854078,
+      "grad_norm": 17.072463989257812,
+      "learning_rate": 9.957224306869053e-05,
+      "loss": 5.8517,
+      "step": 21
+    },
+    {
+      "epoch": 1.5450643776824036,
+      "grad_norm": 19.66710090637207,
+      "learning_rate": 9.829629131445342e-05,
+      "loss": 6.3888,
+      "step": 22
+    },
+    {
+      "epoch": 1.613733905579399,
+      "grad_norm": 14.107242584228516,
+      "learning_rate": 9.619397662556435e-05,
+      "loss": 5.4112,
+      "step": 23
+    },
+    {
+      "epoch": 1.6824034334763949,
+      "grad_norm": 13.895885467529297,
+      "learning_rate": 9.330127018922194e-05,
+      "loss": 4.5546,
+      "step": 24
+    },
+    {
+      "epoch": 1.7510729613733904,
+      "grad_norm": 21.809589385986328,
+      "learning_rate": 8.966766701456177e-05,
+      "loss": 6.8744,
+      "step": 25
+    },
+    {
+      "epoch": 1.8197424892703862,
+      "grad_norm": 14.282073974609375,
+      "learning_rate": 8.535533905932738e-05,
+      "loss": 4.5111,
+      "step": 26
+    },
+    {
+      "epoch": 1.888412017167382,
+      "grad_norm": 18.04335594177246,
+      "learning_rate": 8.043807145043604e-05,
+      "loss": 4.8618,
+      "step": 27
+    },
+    {
+      "epoch": 1.9570815450643777,
+      "grad_norm": 16.261669158935547,
+      "learning_rate": 7.500000000000001e-05,
+      "loss": 4.7066,
+      "step": 28
+    },
+    {
+      "epoch": 2.060085836909871,
+      "grad_norm": 14.687187194824219,
+      "learning_rate": 6.91341716182545e-05,
+      "loss": 4.5166,
+      "step": 29
+    },
+    {
+      "epoch": 2.128755364806867,
+      "grad_norm": 13.488051414489746,
+      "learning_rate": 6.294095225512603e-05,
+      "loss": 3.9256,
+      "step": 30
+    },
+    {
+      "epoch": 2.1974248927038627,
+      "grad_norm": 13.153692245483398,
+      "learning_rate": 5.6526309611002594e-05,
+      "loss": 3.1638,
+      "step": 31
+    },
+    {
+      "epoch": 2.2660944206008584,
+      "grad_norm": 9.933245658874512,
+      "learning_rate": 5e-05,
+      "loss": 2.767,
+      "step": 32
+    },
+    {
+      "epoch": 2.334763948497854,
+      "grad_norm": 10.760828971862793,
+      "learning_rate": 4.347369038899744e-05,
+      "loss": 3.6228,
+      "step": 33
+    },
+    {
+      "epoch": 2.40343347639485,
+      "grad_norm": 12.465494155883789,
+      "learning_rate": 3.705904774487396e-05,
+      "loss": 4.5534,
+      "step": 34
+    },
+    {
+      "epoch": 2.4721030042918457,
+      "grad_norm": 9.80876636505127,
+      "learning_rate": 3.086582838174551e-05,
+      "loss": 2.7875,
+      "step": 35
+    },
+    {
+      "epoch": 2.540772532188841,
+      "grad_norm": 10.498035430908203,
+      "learning_rate": 2.500000000000001e-05,
+      "loss": 2.8723,
+      "step": 36
+    },
+    {
+      "epoch": 2.609442060085837,
+      "grad_norm": 14.041341781616211,
+      "learning_rate": 1.9561928549563968e-05,
+      "loss": 4.0086,
+      "step": 37
+    },
+    {
+      "epoch": 2.6781115879828326,
+      "grad_norm": 11.766754150390625,
+      "learning_rate": 1.4644660940672627e-05,
+      "loss": 3.3765,
+      "step": 38
+    },
+    {
+      "epoch": 2.7467811158798283,
+      "grad_norm": 9.810280799865723,
+      "learning_rate": 1.0332332985438248e-05,
+      "loss": 3.177,
+      "step": 39
+    },
+    {
+      "epoch": 2.815450643776824,
+      "grad_norm": 10.37423038482666,
+      "learning_rate": 6.698729810778065e-06,
+      "loss": 3.3284,
+      "step": 40
+    },
+    {
+      "epoch": 2.88412017167382,
+      "grad_norm": 10.795289993286133,
+      "learning_rate": 3.8060233744356633e-06,
+      "loss": 2.8375,
+      "step": 41
+    },
+    {
+      "epoch": 2.9527896995708156,
+      "grad_norm": 12.411961555480957,
+      "learning_rate": 1.70370868554659e-06,
+      "loss": 3.6438,
+      "step": 42
+    },
+    {
+      "epoch": 3.055793991416309,
+      "grad_norm": 11.045405387878418,
+      "learning_rate": 4.277569313094809e-07,
+      "loss": 3.1393,
+      "step": 43
+    },
+    {
+      "epoch": 3.124463519313305,
+      "grad_norm": 10.357391357421875,
+      "learning_rate": 0.0,
+      "loss": 3.022,
+      "step": 44
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 44,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 4,
+  "save_steps": 50,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 5,
+        "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": 2.3416725626997965e+17,
+  "train_batch_size": 4,
+  "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:f2740f6adc238ab0632a184a2df6c8b615323d0660478416715c19fdc6b801a7
+size 6776