Training in progress, step 25, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: TinyLlama/TinyLlama_v1.1
+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": "TinyLlama/TinyLlama_v1.1",
+  "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": [
+    "q_proj",
+    "k_proj",
+    "down_proj",
+    "gate_proj",
+    "up_proj",
+    "v_proj",
+    "o_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:d8141cecbdb5d9ef89ad242facf233bb7d41bd00321309ed7698f9f6497c46c9
+size 100966336

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:56634719b6315cdd6d086f916562f9e5ec1179e3d9e1eed82e040d48db3a8551
+size 202110330

last-checkpoint/rng_state_0.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c0db0e3478dc8551f8fe75d24bf92f978414815393752add6a7a8cb50e2adeb8
+size 15024

last-checkpoint/rng_state_1.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a1b365418a824e273954e52d96b097a4a90f767407be7569fcfad2ba4fee42a8
+size 15024

last-checkpoint/rng_state_2.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7cd3ca76697a8d84dc2ad7040aee0c3f17b0ae525080c625f6d54719809d44e1
+size 15024

last-checkpoint/rng_state_3.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b06fa0599184e3c5ea71945aa5271ad88e1611450ee1ffb96eb7dae17678cacb
+size 15024

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:107607e336ff02e6e3fc135f6b55fc089901c7172808564e7046a8e836a537c9
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "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": false,
+    "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": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "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": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,233 @@
+{
+  "best_metric": 1.1302893161773682,
+  "best_model_checkpoint": "miner_id_24/checkpoint-25",
+  "epoch": 0.3133568350959655,
+  "eval_steps": 25,
+  "global_step": 25,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.01253427340383862,
+      "grad_norm": 1.065430760383606,
+      "learning_rate": 2e-05,
+      "loss": 1.4767,
+      "step": 1
+    },
+    {
+      "epoch": 0.01253427340383862,
+      "eval_loss": 1.9253945350646973,
+      "eval_runtime": 0.5058,
+      "eval_samples_per_second": 98.851,
+      "eval_steps_per_second": 25.701,
+      "step": 1
+    },
+    {
+      "epoch": 0.02506854680767724,
+      "grad_norm": 1.6225430965423584,
+      "learning_rate": 4e-05,
+      "loss": 1.3994,
+      "step": 2
+    },
+    {
+      "epoch": 0.03760282021151586,
+      "grad_norm": 1.2386142015457153,
+      "learning_rate": 6e-05,
+      "loss": 1.415,
+      "step": 3
+    },
+    {
+      "epoch": 0.05013709361535448,
+      "grad_norm": 0.6819537878036499,
+      "learning_rate": 8e-05,
+      "loss": 1.4403,
+      "step": 4
+    },
+    {
+      "epoch": 0.06267136701919311,
+      "grad_norm": 0.8419666886329651,
+      "learning_rate": 0.0001,
+      "loss": 1.3604,
+      "step": 5
+    },
+    {
+      "epoch": 0.07520564042303172,
+      "grad_norm": 0.9854099750518799,
+      "learning_rate": 9.997539658034168e-05,
+      "loss": 1.3129,
+      "step": 6
+    },
+    {
+      "epoch": 0.08773991382687035,
+      "grad_norm": 0.8464058041572571,
+      "learning_rate": 9.990161322484486e-05,
+      "loss": 1.3227,
+      "step": 7
+    },
+    {
+      "epoch": 0.10027418723070897,
+      "grad_norm": 0.902024507522583,
+      "learning_rate": 9.977873061452552e-05,
+      "loss": 1.3704,
+      "step": 8
+    },
+    {
+      "epoch": 0.1128084606345476,
+      "grad_norm": 1.2437635660171509,
+      "learning_rate": 9.96068831197139e-05,
+      "loss": 1.5765,
+      "step": 9
+    },
+    {
+      "epoch": 0.12534273403838622,
+      "grad_norm": 1.6130616664886475,
+      "learning_rate": 9.938625865312251e-05,
+      "loss": 1.6439,
+      "step": 10
+    },
+    {
+      "epoch": 0.13787700744222484,
+      "grad_norm": 2.1686384677886963,
+      "learning_rate": 9.911709846436641e-05,
+      "loss": 1.688,
+      "step": 11
+    },
+    {
+      "epoch": 0.15041128084606345,
+      "grad_norm": 2.926682472229004,
+      "learning_rate": 9.879969687616027e-05,
+      "loss": 1.7303,
+      "step": 12
+    },
+    {
+      "epoch": 0.16294555424990206,
+      "grad_norm": 1.3535600900650024,
+      "learning_rate": 9.84344009624807e-05,
+      "loss": 1.8476,
+      "step": 13
+    },
+    {
+      "epoch": 0.1754798276537407,
+      "grad_norm": 0.5178162455558777,
+      "learning_rate": 9.80216101690461e-05,
+      "loss": 1.2019,
+      "step": 14
+    },
+    {
+      "epoch": 0.18801410105757932,
+      "grad_norm": 0.5845542550086975,
+      "learning_rate": 9.756177587652856e-05,
+      "loss": 1.2685,
+      "step": 15
+    },
+    {
+      "epoch": 0.20054837446141793,
+      "grad_norm": 0.3702237606048584,
+      "learning_rate": 9.705540090697575e-05,
+      "loss": 1.1359,
+      "step": 16
+    },
+    {
+      "epoch": 0.21308264786525657,
+      "grad_norm": 0.3851359486579895,
+      "learning_rate": 9.650303897398232e-05,
+      "loss": 1.1106,
+      "step": 17
+    },
+    {
+      "epoch": 0.2256169212690952,
+      "grad_norm": 0.44309094548225403,
+      "learning_rate": 9.590529407721231e-05,
+      "loss": 1.0739,
+      "step": 18
+    },
+    {
+      "epoch": 0.2381511946729338,
+      "grad_norm": 0.4140450060367584,
+      "learning_rate": 9.526281984193436e-05,
+      "loss": 1.0593,
+      "step": 19
+    },
+    {
+      "epoch": 0.25068546807677244,
+      "grad_norm": 0.4120848476886749,
+      "learning_rate": 9.4576318804292e-05,
+      "loss": 1.0905,
+      "step": 20
+    },
+    {
+      "epoch": 0.26321974148061106,
+      "grad_norm": 0.5593251585960388,
+      "learning_rate": 9.384654164309083e-05,
+      "loss": 1.164,
+      "step": 21
+    },
+    {
+      "epoch": 0.27575401488444967,
+      "grad_norm": 0.47133612632751465,
+      "learning_rate": 9.30742863589421e-05,
+      "loss": 1.1828,
+      "step": 22
+    },
+    {
+      "epoch": 0.2882882882882883,
+      "grad_norm": 0.8377242088317871,
+      "learning_rate": 9.226039740166091e-05,
+      "loss": 1.3158,
+      "step": 23
+    },
+    {
+      "epoch": 0.3008225616921269,
+      "grad_norm": 0.758277416229248,
+      "learning_rate": 9.140576474687264e-05,
+      "loss": 1.3127,
+      "step": 24
+    },
+    {
+      "epoch": 0.3133568350959655,
+      "grad_norm": 1.3909739255905151,
+      "learning_rate": 9.051132292283771e-05,
+      "loss": 1.5423,
+      "step": 25
+    },
+    {
+      "epoch": 0.3133568350959655,
+      "eval_loss": 1.1302893161773682,
+      "eval_runtime": 0.5032,
+      "eval_samples_per_second": 99.369,
+      "eval_steps_per_second": 25.836,
+      "step": 25
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 100,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 2,
+  "save_steps": 25,
+  "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": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 4.225681541247795e+16,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

last-checkpoint/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:17ffd8e0d9dbc461277f33df1529cfbbaaefbc9789ad0c2f630de95f394e0b9e
+size 6840