Training in progress, step 25, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
+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-1.1B-Chat-v1.0",
+  "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": 32,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "o_proj",
+    "down_proj",
+    "q_proj",
+    "gate_proj",
+    "v_proj",
+    "up_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 sha256:3aa91a5c7c895a1edf268b92ddf69cfe9a312ec282ab3dd161bf2035f3691779
+size 50503544

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:58a6d8cc56f099d0c89803df4141df9e19d34c394d7a6d3f72a922f01bb144e3
+size 101184122

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:51835fedd600a13be493cd65243a4b1bbb70fe38246f07acaa55d78ff0549496
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8c931ece4da598a541d357f6c98f67481603252e193960022d37ddd49c584b1f
+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": 2048,
+  "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 +1,232 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.000811187903565982,
+  "eval_steps": 9,
+  "global_step": 25,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 3.244751614263928e-05,
+      "grad_norm": 0.699952244758606,
+      "learning_rate": 1e-05,
+      "loss": 1.0141,
+      "step": 1
+    },
+    {
+      "epoch": 3.244751614263928e-05,
+      "eval_loss": 1.2364516258239746,
+      "eval_runtime": 410.7977,
+      "eval_samples_per_second": 63.177,
+      "eval_steps_per_second": 7.899,
+      "step": 1
+    },
+    {
+      "epoch": 6.489503228527856e-05,
+      "grad_norm": 0.5059106945991516,
+      "learning_rate": 2e-05,
+      "loss": 1.173,
+      "step": 2
+    },
+    {
+      "epoch": 9.734254842791784e-05,
+      "grad_norm": 0.721911609172821,
+      "learning_rate": 3e-05,
+      "loss": 1.2592,
+      "step": 3
+    },
+    {
+      "epoch": 0.00012979006457055711,
+      "grad_norm": 0.7691875696182251,
+      "learning_rate": 4e-05,
+      "loss": 1.2255,
+      "step": 4
+    },
+    {
+      "epoch": 0.00016223758071319641,
+      "grad_norm": 0.6363957524299622,
+      "learning_rate": 5e-05,
+      "loss": 1.2921,
+      "step": 5
+    },
+    {
+      "epoch": 0.00019468509685583569,
+      "grad_norm": 0.8589330315589905,
+      "learning_rate": 6e-05,
+      "loss": 1.0931,
+      "step": 6
+    },
+    {
+      "epoch": 0.00022713261299847496,
+      "grad_norm": 0.7455472350120544,
+      "learning_rate": 7e-05,
+      "loss": 1.3303,
+      "step": 7
+    },
+    {
+      "epoch": 0.00025958012914111423,
+      "grad_norm": 0.6809628009796143,
+      "learning_rate": 8e-05,
+      "loss": 1.1682,
+      "step": 8
+    },
+    {
+      "epoch": 0.0002920276452837535,
+      "grad_norm": 0.5815722346305847,
+      "learning_rate": 9e-05,
+      "loss": 1.2131,
+      "step": 9
+    },
+    {
+      "epoch": 0.0002920276452837535,
+      "eval_loss": 1.2085680961608887,
+      "eval_runtime": 409.6889,
+      "eval_samples_per_second": 63.348,
+      "eval_steps_per_second": 7.921,
+      "step": 9
+    },
+    {
+      "epoch": 0.00032447516142639283,
+      "grad_norm": 0.48401424288749695,
+      "learning_rate": 0.0001,
+      "loss": 1.1914,
+      "step": 10
+    },
+    {
+      "epoch": 0.0003569226775690321,
+      "grad_norm": 0.7972922325134277,
+      "learning_rate": 9.99695413509548e-05,
+      "loss": 1.3705,
+      "step": 11
+    },
+    {
+      "epoch": 0.00038937019371167137,
+      "grad_norm": 0.7923889756202698,
+      "learning_rate": 9.987820251299122e-05,
+      "loss": 1.187,
+      "step": 12
+    },
+    {
+      "epoch": 0.00042181770985431064,
+      "grad_norm": 0.7378607988357544,
+      "learning_rate": 9.972609476841367e-05,
+      "loss": 1.1752,
+      "step": 13
+    },
+    {
+      "epoch": 0.0004542652259969499,
+      "grad_norm": 0.6670899987220764,
+      "learning_rate": 9.951340343707852e-05,
+      "loss": 1.2382,
+      "step": 14
+    },
+    {
+      "epoch": 0.0004867127421395892,
+      "grad_norm": 0.5493435859680176,
+      "learning_rate": 9.924038765061042e-05,
+      "loss": 1.0741,
+      "step": 15
+    },
+    {
+      "epoch": 0.0005191602582822285,
+      "grad_norm": 0.6642765402793884,
+      "learning_rate": 9.890738003669029e-05,
+      "loss": 1.273,
+      "step": 16
+    },
+    {
+      "epoch": 0.0005516077744248677,
+      "grad_norm": 0.7158033847808838,
+      "learning_rate": 9.851478631379982e-05,
+      "loss": 1.0416,
+      "step": 17
+    },
+    {
+      "epoch": 0.000584055290567507,
+      "grad_norm": 0.6141757965087891,
+      "learning_rate": 9.806308479691595e-05,
+      "loss": 1.1888,
+      "step": 18
+    },
+    {
+      "epoch": 0.000584055290567507,
+      "eval_loss": 1.1528652906417847,
+      "eval_runtime": 409.6904,
+      "eval_samples_per_second": 63.348,
+      "eval_steps_per_second": 7.921,
+      "step": 18
+    },
+    {
+      "epoch": 0.0006165028067101464,
+      "grad_norm": 0.7109853029251099,
+      "learning_rate": 9.755282581475769e-05,
+      "loss": 1.09,
+      "step": 19
+    },
+    {
+      "epoch": 0.0006489503228527857,
+      "grad_norm": 0.6954298615455627,
+      "learning_rate": 9.698463103929542e-05,
+      "loss": 1.0063,
+      "step": 20
+    },
+    {
+      "epoch": 0.0006813978389954249,
+      "grad_norm": 0.7887369990348816,
+      "learning_rate": 9.635919272833938e-05,
+      "loss": 1.0689,
+      "step": 21
+    },
+    {
+      "epoch": 0.0007138453551380642,
+      "grad_norm": 0.9078826308250427,
+      "learning_rate": 9.567727288213005e-05,
+      "loss": 1.0223,
+      "step": 22
+    },
+    {
+      "epoch": 0.0007462928712807035,
+      "grad_norm": 0.8368735313415527,
+      "learning_rate": 9.493970231495835e-05,
+      "loss": 1.2175,
+      "step": 23
+    },
+    {
+      "epoch": 0.0007787403874233427,
+      "grad_norm": 0.6735103726387024,
+      "learning_rate": 9.414737964294636e-05,
+      "loss": 1.2283,
+      "step": 24
+    },
+    {
+      "epoch": 0.000811187903565982,
+      "grad_norm": 0.6207486391067505,
+      "learning_rate": 9.330127018922194e-05,
+      "loss": 1.0345,
+      "step": 25
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 100,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 25,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 2727827245891584.0,
+  "train_batch_size": 8,
+  "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:e1a6611d5904cedde9a77b04a00307c6acc12aa0a5b0f3800a25dfde626a75c6
+size 6776